Remote Senior Staff Data Engineer Jobs
Remote Senior Staff Data Engineer jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams hiring for senior staff roles in technology, financial services, and healthcare. Companies hiring remotely right now include Akumin, Optum, and The Hanover Insurance. See the openings below and apply to the ones that match your experience.
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Showing 5 of 152+ Remote Senior Staff Data Engineer jobs
INTRODUCTION
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
THE COMMUNITY YOU WILL JOIN
The Data Stewardship team is a group of passionate data practitioners with a diverse background in analytics, data modeling, governance, compliance, and scaled data quality. We are responsible for ensuring Airbnb is meeting its compliance obligations across our data ecosystem and ensuring data consumers are able to easily identify the best data for their needs. We support the pipelines, programs, and policy-bodies that make this possible. You’ll be part of the overall Data Infrastructure organization that is responsible for online and offline data infrastructure across the company, and the components that transition data between these environments.
THE DIFFERENCE YOU WILL MAKE
- Set the North Star: you will define the multi-year vision for Data Governance and Data Quality that scales with our global business and evolving AI landscape.
- Organizational Influence: Act as a primary consultant for executive leadership on data governance, ensuring that compliance and stewardship are integrated into the data product lifecycle from day one.
A TYPICAL DAY
- Architect Ecosystems: Lead the design of overarching data architectures that don't just solve today’s batch needs but anticipate future real-time and AI-driven requirements.
- Scale Best Practices: Rather than just "ensuring quality," you will define the best practices, tooling, and culture that enable data organizations to maintain high-quality data autonomously.
- Policy Stewardship: Lead cross-functional task forces (Infosec, Legal, Privacy) to navigate complex regulatory landscapes (like GDPR or AI Act) and translate them into engineering requirements.
- Mentor and Multiply: Coach Senior and Staff engineers across the organization on data best practices, fostering a community of excellence.
YOUR EXPERTISE
- Leadership Track: 12+ years of industry experience, with a proven track record of leading large-scale data initiatives across multiple departments or business units.
- System Design at Scale: Demonstrated expertise in designing and evolving complex data ecosystems within complex, high-volume environments (e.g., Airbnb).
- Strategic Collaboration: Experience influencing product and business strategy by leveraging data integrity as a competitive advantage.
- Tech Stack Mastery: Deep expertise in the Java/Scala/Spark ecosystem (preferably with knowledge of S3 and Iceberg) with the ability to vet and introduce proven industry approaches and new technologies to the stack. Strong knowledge of relational databases and query authoring (SQL).
- Change Management: Strong ability to drive cultural shifts regarding data ownership and quality across an entire engineering organization.
YOUR LOCATION:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
OUR COMMITMENT TO INCLUSION & BELONGING
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
HOW WE'LL TAKE CARE OF YOU
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
PAY RANGE
$248,000—$310,000 USD
INTRODUCTION
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
THE COMMUNITY YOU WILL JOIN
The Data Stewardship team is a group of passionate data practitioners with a diverse background in analytics, data modeling, governance, compliance, and scaled data quality. We are responsible for ensuring Airbnb is meeting its compliance obligations across our data ecosystem and ensuring data consumers are able to easily identify the best data for their needs. We support the pipelines, programs, and policy-bodies that make this possible. You’ll be part of the overall Data Infrastructure organization that is responsible for online and offline data infrastructure across the company, and the components that transition data between these environments.
THE DIFFERENCE YOU WILL MAKE
- Set the North Star: you will define the multi-year vision for Data Governance and Data Quality that scales with our global business and evolving AI landscape.
- Organizational Influence: Act as a primary consultant for executive leadership on data governance, ensuring that compliance and stewardship are integrated into the data product lifecycle from day one.
A TYPICAL DAY
- Architect Ecosystems: Lead the design of overarching data architectures that don't just solve today’s batch needs but anticipate future real-time and AI-driven requirements.
- Scale Best Practices: Rather than just "ensuring quality," you will define the best practices, tooling, and culture that enable data organizations to maintain high-quality data autonomously.
- Policy Stewardship: Lead cross-functional task forces (Infosec, Legal, Privacy) to navigate complex regulatory landscapes (like GDPR or AI Act) and translate them into engineering requirements.
- Mentor and Multiply: Coach Senior and Staff engineers across the organization on data best practices, fostering a community of excellence.
YOUR EXPERTISE
- Leadership Track: 12+ years of industry experience, with a proven track record of leading large-scale data initiatives across multiple departments or business units.
- System Design at Scale: Demonstrated expertise in designing and evolving complex data ecosystems within complex, high-volume environments (e.g., Airbnb).
- Strategic Collaboration: Experience influencing product and business strategy by leveraging data integrity as a competitive advantage.
- Tech Stack Mastery: Deep expertise in the Java/Scala/Spark ecosystem (preferably with knowledge of S3 and Iceberg) with the ability to vet and introduce proven industry approaches and new technologies to the stack. Strong knowledge of relational databases and query authoring (SQL).
- Change Management: Strong ability to drive cultural shifts regarding data ownership and quality across an entire engineering organization.
YOUR LOCATION:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
OUR COMMITMENT TO INCLUSION & BELONGING
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
HOW WE'LL TAKE CARE OF YOU
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
PAY RANGE
$248,000—$310,000 USD
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Find JobsRemote Senior Staff Data Engineer Job Market
Who's Hiring
- Akumin13
- Optum6
- The Hanover Insurance5
- Airbnb4
- Geisinger4
Top Industries Hiring
- Technology & Software30
- Healthcare & Medical Services26
- Consulting & Professional Services21
- Insurance12
- Hospitality & Tourism4
What Employers Look For
The qualifications that appear most often in remote 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 Remote Senior Staff Data Engineer Job Search
Show async communication as a skill
Remote senior staff data engineers are evaluated on written clarity as much as technical depth. Document a past architectural decision or data system design in long-form and link it from your resume or application materials so hiring managers can assess your async communication directly.
Apply early to remote roles that fit
Migrate Mate lists remote senior staff data engineer openings from across the U.S. in one place, so you can find roles that match your stack and experience level and apply directly without sorting through location-filtered results.
Highlight distributed team leadership experience
Remote employers at the senior staff level prioritize candidates who have led data teams across time zones. Call out specific examples of cross-functional collaboration, async code review practices, and mentorship of remote engineers in your application materials.
Prepare for systems design in remote interviews
Remote senior staff data engineer interviews lean on virtual whiteboarding and shared documents for systems design rounds. Practice walking through pipeline architecture and data modeling decisions using collaborative diagramming tools, narrating your thinking clearly as you go.
Signal remote readiness in your work samples
Include GitHub repositories, data platform design documents, or runbook examples that reflect work you completed independently. Remote hiring teams use these artifacts to verify self-direction and production ownership before extending an offer.
Remote Senior Staff Data Engineer Jobs: Frequently Asked Questions
How do I get a remote senior staff data engineer job?
Target remote-first companies and distributed engineering organizations that have built infrastructure around async collaboration, since those employers hire senior staff data engineers remotely most consistently. Remote hiring managers screen heavily for self-direction, clear written communication, and ownership of large-scale data systems without in-person oversight. Demonstrating experience leading distributed data teams, designing production pipelines, and documenting architectural decisions gives candidates a concrete edge in remote interviews.
Which companies hire remote senior staff data engineers?
Companies hiring remote senior staff data engineers right now include Akumin, Optum, and The Hanover Insurance, based on current remote listings on Migrate Mate as of June 2026. Remote senior staff data engineer roles concentrate at remote-first technology firms, distributed fintech and data platform companies, and large-scale healthcare and SaaS organizations that run engineering teams across multiple time zones.
Can you get a remote senior staff data engineer job with no experience?
Yes, but remote senior staff data engineer roles are harder to land without experience because these positions expect independent technical leadership from day one with minimal supervision. Entry paths include contributing to open-source data infrastructure projects, building a public portfolio of end-to-end pipeline work, and targeting early-stage remote-first startups that weigh demonstrated output over years of tenure.
Do you need a degree for remote senior staff data engineer jobs?
Not always. Remote employers hiring at the senior staff level weigh demonstrated technical depth, measurable system impact, and engineering portfolio work heavily alongside or instead of a formal degree. Candidates who can show ownership of large-scale distributed data systems, published work, or open-source contributions routinely advance through remote hiring processes without a four-year computer science credential.
Which industries hire the most remote senior staff data engineers?
The sectors hiring the most remote senior staff data engineers are Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current remote listings on Migrate Mate as of June 2026. Those sectors rely on distributed engineering teams managing high-volume data infrastructure across geographies, making senior staff data engineers well suited to fully remote arrangements.
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