Remote Staff Data Engineer Jobs

At GEICO we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company we want you to feel valued supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers. GEICO’s Cybersecurity organization has an exciting opportunity for an accomplished Senior Staff Engineer – Cybersecurity Data Protection Engineering. This individual will play a key role within GEICO’s Cybersecurity Data Security Protection and Privacy team with a focus on data protection management. Position Description: Our Senior Staff Engineer – Cybersecurity Data Protection is responsible for leading the organization's efforts to identify assess and evaluate potential vulnerabilities and threats to the organization's information systems and sensitive data. This includes conducting regular data risk assessments recommending controls and countermeasures to mitigate identified risks and monitoring the effectiveness of the implemented security measures. This role also acts as an expert and mentor for other data protection engineers in the organization and may be involved in developing and managing the overall data security and protection program. Position Responsibilities As a Senior Staff Engineer you will: Develop and Implement data protection strategies and initiatives including classification and handling data access controls inventory encryption and retention. Work closely with other stakeholders to enforce data protection related policy and respond to regulatory requirements. Develop and maintain data security policies procedures standards and ensure that they are followed by the entire organization Create and maintain data inventories and data flows and manage data sharing controls Drive the design and implementation of data access controls ensuring only authorized access to sensitive data CO-develop and implement data retention policy and procedures ensure compliance with internal policy and external regulations Enforce data encryption standards and strategies to secure data at rest and in transit Lead incident response efforts related to data breach and work with stakeholders to mitigate impact Lead and conduct regular data risk assessments to identify potential vulnerabilities and threats to the organization's data and information systems Stay abreast of new developments in the field of cybersecurity and ensure that the organization's risk assessment and data security processes are aligned with industry standards and best practices Act as an expert and mentor for other data protection engineers in the organization providing guidance and support on data protection methodologies techniques and best practices Manage and supervise the work of other data protection engineers including reviewing and approving their work when needed Represent the organization in external meetings and interactions with clients stakeholders and other industry experts Qualifications: Proven experience with data discovery classification handling access inventory and retention Proven experience with data protection technologies such as encryption tokenization and data loss prevention tools. Familiar with programming languages such as Python Java or .NET Experience with designing and implementing data security solutions for enterprise environments Experience in managing and supervising other Data Protection Engineers Experience in developing and managing data protection programs focused on data discovery data inventory data risk assessments and encryption for both structured and unstructured data Strong knowledge of cybersecurity laws regulations and best practices Knowledge of data security frameworks standards and protocols Strong understanding of data privacy laws and regulations (i.e. NYDFS PCI etc.) Strong analytical and problem-solving skills Excellent communication and presentation skills to effectively communicate with management and other stakeholders Ability to excel in fast-paced startup-like environment Experience: 7+ years of experience in cybersecurity with focus on data protection and privacy 4+ years of experience in open-source frameworks 3+ years of experience with architecture and design 3+ years of experience with AWS GCP Azure or another cloud service Education: Bachelor’s degree in Computer Science Information Systems or equivalent education or work experience One or more of the following cybersecurity certifications are highly desired: Certified Information Systems Security Professional (CISSP) Certified Information Security Manager (CISM) Certified in Risk and Information Systems Control (CRISC) Annual Salary $115000.00 - $260000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include but are not limited to the scope and responsibilities of the role the selected candidate’s work experience education and training the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation exceeding our customers’ expectations and enabling our collective success. From day one you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives. Great Careers: We offer a career where you can learn grow and thrive through personalized development programs created with your career – and your potential – in mind. You’ll have access to industry leading training certification assistance career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success rooted in integrity a bias for action and a winning mindset. Grounded by our core values we have an an established culture of caring inclusion and belonging that values different perspectives. Our teams are led by dynamic multi-faceted teams led by supportive leaders driven by performance excellence and unified under a shared purpose. As part of our culture we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being. Financial benefits including market-competitive compensation a 401K savings plan vested from day one that offers a 6% match performance and recognition-based incentives and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race color religious creed national origin ancestry age gender pregnancy sexual orientation gender identity marital status familial status disability or genetic information in compliance with applicable federal state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

At GEICO we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company we want you to feel valued supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers. At GEICO we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company we want you to feel valued supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers. At GEICO we are not just an insurance company we are a technology-driven organization that is transforming the insurance landscape. Our mission is to leverage cutting-edge technology to deliver exceptional experiences for our customers and create innovative solutions that redefine the industry. About The Team Our Financial Data Integrity Team is at the heart of ensuring trust and accuracy in our organization’s financial ecosystem. We design implement and manage the substantiation platform that safeguards the integrity of financial data across global systems enabling compliance informed decision-making and operational excellence. What you will do As a Staff Software Engineer within our Financial Data Integrity Substantiation Platform you will play an important role in developing and optimizing our critical data reconciliation systems. Your technical expertise will contribute to ensuring the accuracy reliability and scalability of our financial data infrastructure. Here's what you can expect to do: Contribute to the design and implementation of high-performance scalable reconciliation systems capable of processing billions of transactions daily Participate in making technical decisions that balance immediate business needs with long-term scalability and maintainability Work with cross-functional teams to integrate our platform with various financial systems ERPs and data warehouses Develop core components of our substantiation platform writing high-quality efficient code Provide technical guidance to other engineers on the team Follow and help improve best practices for code quality testing and deployment Contribute to the professional development of junior engineers through code reviews and knowledge sharing Collaborate with Finance Compliance and Business Intelligence teams to implement technical solutions for complex business requirements Work with Product Management to implement features that deliver maximum impact Explain technical concepts to both technical and non-technical stakeholders Minimum Requirements Bachelor’s degree in data science computer science economics or related field advanced degree preferred 9+ years of experience in Software Engineering Experience in one or more relevant programming languages such as Java Python JavaScript Experience with tools like Git Docker Kubernetes and CI/CD pipelines Experience with cloud platforms like AWS Azure or Google Cloud Competence in SQL NoSQL relational database design and efficient methods for data retrieval and preparation at scale Proven ability to collect and process raw data at scale including scripting API integration and SQL querying Experience in writing and optimizing SQL queries ensure data security and integrate Snowflake with third-party tools Experience with data modeling ETL processes and query languages (Python PySpark and SQL) Demonstrated success working with cross-functional teams to integrate new platform with various financial systems ERPs and data warehouses Good communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders Experience with Agile development methodologies and CI/CD practices Be Part of Our Journey If you are a passionate technologist looking to make a difference GEICO Tech is the place for you. Join us and be part of a team that is shaping the future of insurance technology. Together we will create innovative solutions that improve lives and transform the industry. #LI-MK1 Annual Salary $105000.00 - $230000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include but are not limited to the scope and responsibilities of the role the selected candidate’s work experience education and training the work location as well as market and business considerations. At this time GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation exceeding our customers’ expectations and enabling our collective success. From day one you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives. Great Careers: We offer a career where you can learn grow and thrive through personalized development programs created with your career – and your potential – in mind. You’ll have access to industry leading training certification assistance career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success rooted in integrity a bias for action and a winning mindset. Grounded by our core values we have an an established culture of caring inclusion and belonging that values different perspectives. Our teams are led by dynamic multi-faceted teams led by supportive leaders driven by performance excellence and unified under a shared purpose. As part of our culture we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being. Financial benefits including market-competitive compensation a 401K savings plan vested from day one that offers a 6% match performance and recognition-based incentives and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race color religious creed national origin ancestry age gender pregnancy sexual orientation gender identity marital status familial status disability or genetic information in compliance with applicable federal state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

At GEICO we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company we want you to feel valued supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers. About The Team Our Financial Data Integrity Team is at the heart of ensuring trust and accuracy in our organization’s financial ecosystem. We design implement and manage the substantiation platform that safeguards the integrity of financial data across global systems enabling compliance informed decision-making and operational excellence. What you will do As a Staff Software Data Engineer within our Financial Data Integrity Substantiation Platform you will play an important role in building and managing our critical data reconciliation systems. Your technical expertise will contribute to ensuring the accuracy reliability and scalability of our financial data infrastructure. Here's what you can expect to do: Contribute to the design and implementation of high-performance scalable reconciliation systems capable of processing billions of transactions daily Participate in making technical decisions that balance immediate business needs with long-term scalability and maintainability Work with cross-functional teams to integrate our platform with various financial systems ERPs and data warehouses Develop core components of our substantiation platform writing high-quality efficient code Provide technical guidance to other engineers on the team Follow and help improve best practices for code quality testing and deployment Contribute to the professional development of junior engineers through code reviews and knowledge sharing Collaborate with Finance Compliance and Business Intelligence teams to implement technical solutions for complex business requirements Work with Product Management to implement features that deliver maximum impact Explain technical concepts to both technical and non-technical stakeholders Minimum Requirements: Bachelor’s degree in data science computer science economics or related field advanced degree preferred 9+ years of experience in Software Engineering Experience in one or more relevant programming languages such as Java and/or Go Experience with tools like Git Docker Kubernetes and CI/CD pipelines Experience with cloud platforms like AWS Azure or Google Cloud Competence in SQL NoSQL relational database design and efficient methods for data retrieval and preparation at scale Proven ability to collect and process raw data at scale including scripting API integration and SQL querying Experience in writing and optimizing SQL queries ensure data security and integrate Snowflake with third-party tools Experience with data modeling ETL processes and query languages (Python PySpark and SQL) Demonstrated success working with cross-functional teams to integrate new platform with various financial systems ERPs and data warehouses Good communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders Experience with Agile development methodologies and CI/CD practices #LI-MK1 Annual Salary $105000.00 - $230000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include but are not limited to the scope and responsibilities of the role the selected candidate’s work experience education and training the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation exceeding our customers’ expectations and enabling our collective success. From day one you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives. Great Careers: We offer a career where you can learn grow and thrive through personalized development programs created with your career – and your potential – in mind. You’ll have access to industry leading training certification assistance career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success rooted in integrity a bias for action and a winning mindset. Grounded by our core values we have an an established culture of caring inclusion and belonging that values different perspectives. Our teams are led by dynamic multi-faceted teams led by supportive leaders driven by performance excellence and unified under a shared purpose. As part of our culture we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being. Financial benefits including market-competitive compensation a 401K savings plan vested from day one that offers a 6% match performance and recognition-based incentives and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race color religious creed national origin ancestry age gender pregnancy sexual orientation gender identity marital status familial status disability or genetic information in compliance with applicable federal state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

This position is posted by Jobgether on behalf of [Omada Health]. We are currently looking for a [Staff Software Engineer AI and Data Technology] in [United States]. This is a high-impact engineering role dedicated to building the foundation that powers analytics data science and AI across the organization. As Staff Software Engineer you will architect scalable secure and efficient platforms that enable advanced AI/ML workloads and data-driven decision-making. You will set technical vision adopt emerging technologies and optimize performance across cloud-native environments. Working closely with cross-functional teams you'll anticipate challenges align on requirements and ensure robust enablement of business-critical initiatives. This position offers the opportunity to drive innovation mentor engineers and influence the future of data and AI infrastructure at scale. Accountabilities Lead the design development and deployment of scalable AI and data platforms leveraging best practices in MLOps/LLMOps automation and cloud-native engineering Architect secure and high-performance systems for ingestion storage processing and model lifecycle management optimized for scalability and monitoring Collaborate with analytics data science and ML teams to enable reliable decision-making through robust platform support Evaluate and integrate cutting-edge frameworks and tools to enhance platform performance cost-efficiency and long-term sustainability Provide mentorship and guidance to engineers fostering innovation and technical excellence across teams Establish and enforce best practices for governance data privacy compliance and deployment standards Drive continuous improvements in automation observability and incident response processes Requirements 8+ years of software engineering experience with a focus on building platforms for analytics AI and data science Proficiency in programming languages such as Python Java or Scala Expertise with AI infrastructure including model serving platforms feature stores and experimentation frameworks Experience architecting data systems such as lakes warehouses and real-time processing solutions Strong knowledge of cloud platforms (AWS Azure GCP) and distributed computing technologies (e.g. Kubernetes Spark) Familiarity with machine learning frameworks (TensorFlow PyTorch) and MLOps/LLMOps practices Demonstrated ability to lead projects end-to-end from vision to delivery Excellent problem-solving communication and collaboration skills with cross-functional stakeholders Bonus points for familiarity with governance and compliance frameworks (HIPAA GDPR) and BI tool integrations (Looker Tableau Power BI) Benefits Competitive salary: $193600-$253000 depending on location and experience Annual cash bonus and equity grants Remote-first work environment with flexibility Generous vacation and parental leave policies Health dental and vision insurance with above-market contributions 401(k) retirement savings plan Lifestyle Spending Account and mental health support Inclusive culture with a strong commitment to diversity equity and belonging Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly analyzing your skills experience and achievements. 📊 It compares your profile to the job's core requirements and past success factors to determine your match score. 🎯 Based on this analysis we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent skills-based and free of bias — focusing solely on your fit for the role. Once the shortlist is completed we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest!

We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted and we are dedicated to treating the whole person not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. About the Role We’re shaping the future of mental health care with AI-enabled experiences that enhance not replace the human connection at the core of therapy. Our north star is clinically-grounded and responsible AI designed to bring greater transparency personalization and continuous support across the therapy journey. Our work transforms therapy into an experience that’s more connected and accessible. As we expand our portfolio of AI experiences we’re scaling our team to drive innovation and set a new standard for mental health care. As a Data Engineer you will help build and maintain the data pipelines that pull information from our central storage system to train machine learning models and AI tools supporting a variety of use cases that support our providers and improve patient outcomes. You will be part of a collaborative group that values open discussions and quick adjustments to meet changing needs working alongside data experts and other specialists to turn raw information into useful resources for our mission. This role sits within our data team which is part of the overall engineering organization and is a close partner team to our ML Team where your daily work—designing reliable flows of information testing for accuracy and solving unexpected challenges—will directly support innovations that help more individuals get the mental health support they deserve. If you enjoy turning complex data into something that makes a real difference in people's lives this is your chance to contribute to meaningful advancements in health care. Required Qualifications 8+ years of Data Pipeline Development – specifically building and maintaining scalable ETL/ELT pipelines for ML/AI training workflows using tools like AWS Glue DBT Dagster Spark or Ray for distributed processing of large-scale structured and unstructured data from Data Lakes. Strong proficiency in Spark Python and SQL for feature engineering data transformation and ensuring high-quality versioned datasets suitable for model training and inference. 8+ Years of Cloud Infrastructure & Data Warehousing experience 4+ of which with a focus in AWS. This person should be proficient in AWS services such as Redshift S3 Glue IAM EMR and SageMaker for supporting ML/AI pipelines. Candidates may bring additional experience from other cloud environments (e.g. GCP services like BigQuery GCS Dataflow or AI Platform Azure services like Synapse Analytics Blob Storage Databricks or Machine Learning Studio) to complement their AWS expertise. Experience optimizing data warehouses (e.g. Redshift Snowflake BigQuery) and managing data lakes (e.g. S3 GCS Azure Blob) for large-scale versioned ML training datasets with a focus on partitioning access controls and integration with distributed processing frameworks like Spark. Implementing scalable data validation quality checks and error-handling mechanisms tailored for ML/AI pipelines including bias detection anomaly identification and dataset integrity to ensure high-fidelity training data. Familiarity with data governance practices such as metadata management lineage tracking for reproducible models and compliance with regulations like CPRA or HIPAA in Data Lake environments. Optimizing data pipelines queries and managing large datasets for efficiency and scalability. Knowledge of best practices for high-throughput systems. Experience with data security measures (encryption role-based access control data masking). Understanding of compliance standards (e.g. HIPAA SOC 2) and their application in data engineering. Strong ability to work cross-functionally with data analysts data scientists and stakeholders. Effective communication skills to explain technical concepts to non-technical audiences. Adaptability to thrive in a fast-paced startup environment. Preferred Qualifications While having the preferred qualifications enhances your candidacy having all of them is not mandatory. We encourage all interested applicants to apply even those who may not meet every preferred requirement. Hands-on experience with AWS tools like S3 Glue EMR SageMaker and Lambda for building scalable ETL/ELT pipelines optimized for ML/LLM training including feature engineering data versioning and handling large-scale unstructured data Proven track record in implementing robust data validation bias detection and lineage tracking in Data Lakes with familiarity in compliance standards (e.g. HIPAA for health data) and tools like Delta Lake or Iceberg to ensure high-fidelity reproducible datasets for model training. Familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation for managing cloud resources. Experience implementing and maintaining CI/CD pipelines for data workflows. Experience in monitoring and reducing costs for large-scale ML/AI workflows in AWS using techniques like spot instances for training jobs auto-scaling EMR clusters and efficient S3 storage tiers (e.g. Intelligent-Tiering) to minimize expenses while maintaining performance. Strong ability to partner with data scientists and ML engineers to design efficient pipelines using orchestration tools (e.g. Airflow Dagster) for incremental loading and cost optimization while monitoring performance metrics like latency and resource utilization in AWS environments. We're serious about your well-being! As part of our team full-time employees receive: 100% remote work environment (US-based only): Working hours to support a healthy work-life balance ensuring you can meet both professional and personal commitments Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States Comprehensive health benefits: Medical dental vision life disability and FSA/HSA 401(k) plan access: Start saving for your future Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) Paid parental leave: Available for all parents including birthing non-birthing adopting and fostering Employee Assistance Program (EAP): Support for your mental and physical health New hire home office stipend: Set up your workspace for success Quarterly department stipend: Fund team-building activities or in-person gatherings Wellness events and lunch & learns: Explore a variety of engaging topics Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences fostering a sense of community and belonging for all Our team We believe that diversity equity and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe seen heard and valued. Compensation Range: $184.1K - $216.6K

Welcome to Fi.We’re a passionate team from Square Google Peloton Uber and more working to transform the dog-human relationship. Our mission? Develop cutting-edge technology to revolutionize what it means to be a dog parent. The dog industry remains firmly stuck in the past and we are here to change that. Fi is leveraging our team's talent and expertise to improve the lives of the millions of dogs in the U.S. Real-time location tracking activity sleep and behavior monitoring – and that's just the beginning.The most exciting aspect of our work? Bridging the communication gap between dogs and humans. Imagine a world where everyone knows how their dog feels in real time and how to keep their best friend in good shape. That's the future we're building at Fi.If you're someone who thrives in innovative collaborative work environments and feels strongly about helping dogs live longer better lives Fi could be the perfect fit. Join us in our pursuit of the “impossible” or as we call it here “let me find a way” to redefine the future of dog ownership together.Fi is Looking for a Staff Data Engineer!At Fi we’re redefining the way humans connect with their dogs through cutting-edge technology. As our Staff Data Engineer you’ll play a critical role in building the data infrastructure that powers our next-generation wearable devices. You’ll work on high-scale high-impact data systems that drive real-time insights machine learning models and analytics—helping us shape the future of connected pet technology. ➡ What You’ll Do: ➡ Own the data foundation: Design and execute scalable high-performance data infrastructure that supports Fi’s growing data needs.Build from the ground up: Develop and maintain robust data warehouses and/or data lakes leveraging the latest advancements in wearable technology.Develop seamless data pipelines: Design build and optimize ETL/ELT processes to ensure data quality reliability and accessibility.Power machine learning at scale: Work closely with the ML team to develop data pipelines for batch and real-time inference models.Enable research and analytics: Interface with research teams to understand data needs provide subject matter expertise and optimize data models for better performance and insights. What You Bring: ➡ Experience: 4+ years of professional data engineering experience.Technical expertise: Proficiency in Python and SQL. Strong knowledge of data modeling ETL and distributed systems.Cloud & big data tools: Experience with AWS (or similar) Databricks Apache SparkCollaboration & communication: Ability to work cross-functionally with research ML and engineering teams to drive data-driven decision-making. Bonus Points If You Have: ➡ Experience building data solutions from the ground up especially at a fast-paced startup.Domain knowledge of wearable tech and/or signal processing.Experience with AWS Lambda S3 SQS DynamoDBExperience with streaming data (Kafka Kinesis or similar) is a plusWorking knowledge of pandas numpy or python ML librariesWorked with geospatial data pipelines & visualization Why You'll Love Us: ➡ Time to Recharge: Enjoy flexible PTO to take the breaks you need.Top-Notch Health Coverage: We’ve got your back (and teeth and eyes) with full medical dental and vision insurance.Wellness Perks: Free access to One Medical Kindbody and Talkspace to keep you feeling your best.Give Back to the Pups: Make tails wag with a $500 annual donation to a dog charity of your choice through our BarkBack Program.Free Fi Membership: Your furry best friend(s) get all the benefits of a Fi collar on us!Love for Friends + Family: Share the Fi magic with loved ones through our gifting program. ➡ Fi is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race color sex religion sexual orientation national origin disability genetic information pregnancy or any other protected characteristic as outlined by federal state or local laws. This policy applies to all employment practices within our organization including hiring promotion termination layoff recall leave of absence compensation benefits training and apprenticeship. Fi makes hiring decisions based solely on qualifications merit and our needs at the time.

Apollo.io is the leading go-to-market solution for revenue teams trusted by over 500000 companies and millions of users globally from rapidly growing startups to some of the world's largest enterprises. Founded in 2015 the company is one of the fastest growing companies in SaaS raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors including Sequoia Capital Bain Capital Ventures and more and counts the former President and COO of Hubspot JD Sherman among its board members.As a Staff Data Engineer you will be responsible for maintaining and operating the data platform that caters to machine learning workflows analytics and powers some of the products offered to Apollo customers.  Daily adventures/responsibilities Develop and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity. Develop and improve Data APIs used in machine learning / AI product offerings Implement automated monitoring alerting self-healing (restartable/graceful failures) features while building the consumption pipelines. Implement processes and systems to monitor data quality ensuring production data is always accurate and available. Write unit/integration tests contribute to the engineering wiki and document work. Define company data models and write jobs to populate data models in our data warehouse. Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture. Competencies Customer driven: Attentive to our internal customers’ needs and strive to deliver a seamless and delightful customer experience in data processing analytics and visualization. High impact: Understand what the most important customer metrics are and make the data platform and datasets an enabler for other teams to achieve improvement. Ownership: Take ownership of team-level projects/platforms from start to finish ensure high-quality implementation and move fast to find the most efficient ways to iterate. Team mentorship and sharing: Share knowledge and best practices with the engineering team to help up-level the team. Agility: Organized and able to effectively plan and break down large projects into smaller tasks that are easier to estimate and deliver. Can lead fast iterations. Speak and act courageously: Not afraid to fail challenge the status quo or speak up for a contrarian view. Focus and move with urgency: Prioritize for impact and move quickly to deliver experiments and features that create customer value. Intelligence: Learns quickly demonstrates the ability to understand and absorb new codebases frameworks and technologies efficiently. Qualifications Required: 8+ years of experience as a data platform engineer or a software engineer in data or big data engineer. Experience in data modeling data warehousing APIs and building data pipelines. Deep knowledge of databases and data warehousing with an ability to collaborate cross-functionally. Bachelor's degree in a quantitative field (Physical/Computer Science Engineering Mathematics or Statistics). Preferred: Experience using the Python data stack. Experience deploying and managing data pipelines in the cloud. Experience working with technologies like Airflow Hadoop FastAPI and Spark. Understanding of streaming technologies like Kafka and Spark Streaming. Why You’ll Love Working at Apollo At Apollo we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work move with focus and urgency and learn voraciously to stay ahead. We invest deeply in your growth ensuring you have the resources support and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action giving you the freedom to experiment take smart risks and drive big wins. If you’re looking for a place where your work matters where you can push boundaries and where your career can thrive—Apollo is the place for you.

Apollo.io is the leading go-to-market solution for revenue teams trusted by over 500000 companies and millions of users globally from rapidly growing startups to some of the world's largest enterprises. Founded in 2015 the company is one of the fastest growing companies in SaaS raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors including Sequoia Capital Bain Capital Ventures and more and counts the former President and COO of Hubspot JD Sherman among its board members. As a Staff Data Engineer you will be responsible for maintaining and operating the data platform that caters to machine learning workflows analytics and powers some of the products offered to Apollo customers. Daily adventures/responsibilities Develop and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity. Develop and improve Data APIs used in machine learning / AI product offerings Implement automated monitoring alerting self-healing (restartable/graceful failures) features while building the consumption pipelines. Implement processes and systems to monitor data quality ensuring production data is always accurate and available. Write unit/integration tests contribute to the engineering wiki and document work. Define company data models and write jobs to populate data models in our data warehouse. Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture. Competencies Customer driven: Attentive to our internal customers' needs and strive to deliver a seamless and delightful customer experience in data processing analytics and visualization. High impact: Understand what the most important customer metrics are and make the data platform and datasets an enabler for other teams to achieve improvement. Ownership: Take ownership of team-level projects/platforms from start to finish ensure high-quality implementation and move fast to find the most efficient ways to iterate. Team mentorship and sharing: Share knowledge and best practices with the engineering team to help up-level the team. Agility: Organized and able to effectively plan and break down large projects into smaller tasks that are easier to estimate and deliver. Can lead fast iterations. Speak and act courageously: Not afraid to fail challenge the status quo or speak up for a contrarian view. Focus and move with urgency: Prioritize for impact and move quickly to deliver experiments and features that create customer value. Intelligence: Learns quickly demonstrates the ability to understand and absorb new codebases frameworks and technologies efficiently. Qualifications Required: 8+ years of experience as a data platform engineer or a software engineer in data or big data engineer. Experience in data modeling data warehousing APIs and building data pipelines. Deep knowledge of databases and data warehousing with an ability to collaborate cross-functionally. Bachelor's degree in a quantitative field (Physical/Computer Science Engineering Mathematics or Statistics). Preferred: Experience using the Python data stack. Experience deploying and managing data pipelines in the cloud. Experience working with technologies like Airflow Hadoop FastAPI and Spark. Understanding of streaming technologies like Kafka and Spark Streaming. ### Why You'll Love Working at Apollo At Apollo we're driven by a shared mission: to help our customers unlock their full revenue potential. That's why we take extreme ownership of our work move with focus and urgency and learn voraciously to stay ahead. We invest deeply in your growth ensuring you have the resources support and autonomy to own your role and make a real impact. Collaboration is at our core—we're all for one meaning you'll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action giving you the freedom to experiment take smart risks and drive big wins. If you're looking for a place where your work matters where you can push boundaries and where your career can thrive—Apollo is the place for you.