Senior Staff Data Engineer Jobs
Senior Staff Data Engineer jobs are open across technology, financial services, healthcare, and media, from staff-level to distinguished engineer, with specializations in data platform architecture, streaming pipelines, and analytics infrastructure. Find a role that fits from the openings below and apply directly.
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We are looking for a hands-on Sr. Staff Data Engineer to help build and evolve Tesla’s next-generation enterprise analytics platform that powers business intelligence and operational intelligence for Vehicle and Optimus Service and more, all while operating under strict SOX compliance and change management controls. You will design, develop, and operate large-scale data infrastructure in a fast-paced, high-impact environment where decisions affect Service operations and customer experience.
What You'll Do
- Architect, build, and maintain state-of-the-art Enterprise Data Warehouse / Lakehouse solutions that serve both batch and near-real-time analytics use cases
- Design robust ETL / ELT pipelines using Python and Apache Airflow (or modern orchestration equivalents)
- Develop and operate real-time data streaming and processing platforms using open-source technologies such as Apache Kafka, Apache Spark Streaming / Structured Streaming, Flink, or equivalent
- Maintain platforms– Vertica, SQL Server, Airflow, Tableau etc
- Handle sensitive financial, production, and customer data systems while strictly adhering to SOX controls, segregation of duties, change management, and audit requirements
- Partner closely with business sponsors, product managers, manufacturing engineers, service operations, finance, and IT/security teams to gather requirements, scope projects, and deliver high-quality solutions quickly
- Communicate complex technical concepts and business impact effectively through written documentation, verbal discussions, architecture diagrams, and executive-level presentations (360-degree communication)
- Define, enforce, and continuously improve engineering standards, coding best practices, testing methodologies, CI/CD patterns, monitoring & alerting, and quality assurance processes
- Actively participate in design reviews, code walkthroughs, and pull request reviews across the team
- Stay current with evolving open-source technologies and recommend adoption when they provide meaningful differentiation or operational efficiency
What You'll Bring
- 8+ years of professional experience as a Data Engineer, Backend Engineer, or ETL developer building large-scale data platforms
- Proficient with SQL, Python for data engineering (pandas, PySpark, SQLAlchemy, API Scrapping, etc.)
- Strong Proficiency with database systems like Vertica, MySQL, SQL Server, NoSQL, OpenSearch, etc. is required
- Deep hands-on experience designing and operating Airflow DAGs in production at scale
- 3+ years of production experience with at least one distributed streaming system (Kafka, Kafka Streams, Spark Streaming, Flink, Pulsar, etc.)
- Solid understanding of data modeling for analytical workloads
- Experience building and operating systems under SOX compliance or similarly regulated environments (change control, audit trails, separation of duties, etc.)
- Strong SQL skills and understanding of distributed query engines
- 3+ years of experience with containerization (Docker) and orchestration (Kubernetes / ECS) is required
- Excellent communication skills. Be able to explain technical trade-offs to engineers and business value to non-technical stakeholders as well as mentor junior engineers
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D
- Short-term and long-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
We are looking for a hands-on Sr. Staff Data Engineer to help build and evolve Tesla’s next-generation enterprise analytics platform that powers business intelligence and operational intelligence for Vehicle and Optimus Service and more, all while operating under strict SOX compliance and change management controls. You will design, develop, and operate large-scale data infrastructure in a fast-paced, high-impact environment where decisions affect Service operations and customer experience.
What You'll Do
- Architect, build, and maintain state-of-the-art Enterprise Data Warehouse / Lakehouse solutions that serve both batch and near-real-time analytics use cases
- Design robust ETL / ELT pipelines using Python and Apache Airflow (or modern orchestration equivalents)
- Develop and operate real-time data streaming and processing platforms using open-source technologies such as Apache Kafka, Apache Spark Streaming / Structured Streaming, Flink, or equivalent
- Maintain platforms– Vertica, SQL Server, Airflow, Tableau etc
- Handle sensitive financial, production, and customer data systems while strictly adhering to SOX controls, segregation of duties, change management, and audit requirements
- Partner closely with business sponsors, product managers, manufacturing engineers, service operations, finance, and IT/security teams to gather requirements, scope projects, and deliver high-quality solutions quickly
- Communicate complex technical concepts and business impact effectively through written documentation, verbal discussions, architecture diagrams, and executive-level presentations (360-degree communication)
- Define, enforce, and continuously improve engineering standards, coding best practices, testing methodologies, CI/CD patterns, monitoring & alerting, and quality assurance processes
- Actively participate in design reviews, code walkthroughs, and pull request reviews across the team
- Stay current with evolving open-source technologies and recommend adoption when they provide meaningful differentiation or operational efficiency
What You'll Bring
- 8+ years of professional experience as a Data Engineer, Backend Engineer, or ETL developer building large-scale data platforms
- Proficient with SQL, Python for data engineering (pandas, PySpark, SQLAlchemy, API Scrapping, etc.)
- Strong Proficiency with database systems like Vertica, MySQL, SQL Server, NoSQL, OpenSearch, etc. is required
- Deep hands-on experience designing and operating Airflow DAGs in production at scale
- 3+ years of production experience with at least one distributed streaming system (Kafka, Kafka Streams, Spark Streaming, Flink, Pulsar, etc.)
- Solid understanding of data modeling for analytical workloads
- Experience building and operating systems under SOX compliance or similarly regulated environments (change control, audit trails, separation of duties, etc.)
- Strong SQL skills and understanding of distributed query engines
- 3+ years of experience with containerization (Docker) and orchestration (Kubernetes / ECS) is required
- Excellent communication skills. Be able to explain technical trade-offs to engineers and business value to non-technical stakeholders as well as mentor junior engineers
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D
- Short-term and long-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Senior Staff Data Engineer Jobs by Experience Level
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Hospitality & Tourism
- Investment & Asset Management
- Retail
- Distribution & Wholesale
What Employers Look For
The qualifications that appear most often in senior staff data engineer jobs.
- 8 or more years of experience building and maintaining large-scale data pipelines
- Deep proficiency with distributed processing frameworks such as Apache Spark or Flink
- Experience designing data platform architecture including lakes, warehouses, and mesh patterns
- Fluency in Python or Scala alongside SQL for transformation and orchestration work
- Hands-on experience with cloud data services on AWS, GCP, or Azure
- Demonstrated ability to lead technical design reviews and mentor senior engineers
Tips for Your Senior Staff Data Engineer Job Search
Quantify pipeline scale on your resume
Hiring managers at the senior staff level care about scope. Replace vague claims with concrete throughput numbers, data volumes, and latency improvements your systems achieved. A resume that names terabyte-scale ingestion or sub-second SLA wins beats one that lists tools alone.
Highlight cross-functional design decisions
Senior staff roles are judged on influence, not just execution. Call out moments when you shaped data contracts with upstream engineering teams, drove schema standards org-wide, or resolved competing platform priorities. That cross-team impact is what separates staff from senior engineers in screening.
Target companies by data maturity stage
A senior staff data engineer at a Series B startup owns different problems than one at a Fortune 500. Filter openings by company size and funding stage to find environments where your strengths, whether greenfield builds or scaling legacy systems, are the actual job.
Apply early to roles that fit
Migrate Mate lists senior staff data engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design narrative not a slide deck
Panels for senior staff data engineers almost always include a whiteboard or live design session. Practice walking through a distributed pipeline decision end-to-end: data sources, transformation logic, storage trade-offs, and failure modes. Interviewers want to see how you reason, not just what you built.
Negotiate scope before negotiating title
At the senior staff level, the real negotiation is often around technical scope, team structure, or platform ownership, not just compensation. Before accepting, clarify what systems you will own, whether the role has a reporting path, and what the first six-month mandate actually is.
Senior Staff Data Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most senior staff data engineers?
The companies hiring the most senior staff data engineers right now include The Hartford, Faire, and NAVEX, with the largest share of openings in California, New York, and Connecticut, based on current listings on Migrate Mate as of August 2026. Demand is concentrated in technology, financial services, and healthcare, though openings appear across a wide range of industries.
How many senior staff data engineer jobs are remote?
About 78% of senior staff data engineer openings are fully remote or hybrid as of August 2026, reflecting the distributed nature of modern data platform work. Roles focused on cloud-native infrastructure, streaming pipeline development, and analytics engineering tend to have the highest remote availability compared to positions requiring close collaboration with on-site data science or ML teams.
How do you become a senior staff data engineer?
Reaching the senior staff level typically requires building production data systems at meaningful scale, taking ownership of platform-wide decisions, and demonstrating impact beyond your immediate team. Most engineers get there by leading migrations or re-architecture projects, establishing data standards adopted by other teams, and consistently mentoring senior engineers. A strong foundation in distributed systems, cloud infrastructure, and data modeling underpins all of it.
Can you land a senior staff data engineer role with limited direct experience at that level?
It is possible if you can demonstrate staff-level impact even without the title. Hiring managers look for evidence that you have owned large technical decisions, influenced engineering direction across teams, and shipped systems others depend on. A portfolio of cross-functional projects, open-source contributions to data tooling, or a clear record of technical leadership in a senior engineer role can substitute for a prior staff-level title.
What does the senior staff data engineer interview process look like?
Most processes run three to five rounds. Expect an initial recruiter or hiring manager screen, followed by a technical coding assessment focused on data manipulation or pipeline logic, a system design session where you architect a distributed data solution end-to-end, and a behavioral round assessing cross-functional leadership and influence. Some companies add a presentation round where you walk through a past project at the architecture level.
Where can I find and apply to senior staff data engineer jobs?
You can find and apply to senior staff data engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
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