senior Data Engineer ic · Posted May 4, 2026
$218,000 – $327,000
USD per year

About this role

Lambda is hiring a senior-level Data Engineer based in San Francisco Office. The posting calls out experience with Bash, Kubernetes, Docker, Terraform. Compensation is listed at $218,000–$327,000 per year.

Role
Data Engineer
Function
data engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
San Francisco Office
Department
Data Center Business
Posted
May 4, 2026

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Job description

from Lambda careers

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.


*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the Job

Join our team as a Senior Data Engineer, where you will collaborate with a small high-performing team of Analytics Engineers and Data Engineers to design data pipelines, a data warehouse, an automated data catalog and internal tools. Your output will directly power product analytics, marketing, supply chain, investor relations, and many more. You will have the opportunity to design and implement best practices while working directly with stakeholders. This position reports to the Data Platform Manager.

What You’ll Do

  • Data Pipeline Development: Design, build, and maintain scalable, robust, and efficient data pipelines (ELT) to process large volumes of structured and unstructured data from multiple sources.

  • Support Business Teams: Use your familiarity with areas such as GTM (Salesforce, Marketing, CRM), Finance and Product to support stakeholder requests and design internal tools that support business processes

    This is an excerpt. Read the full job description on Lambda careers →
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