Senior Staff Software Engineer - Lakeflow Pipelines Datasets
Databricks - Mountain View, California; San Francisco, California
Posted Apr 2, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified not verified - source URL not recorded; timestamp not recorded
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $229K-$314K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
133% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Staff Software Engineer - Lakeflow Pipelines Datasets Mountain View, California; San Francisco, California Databricks builds the world's leading data and AI platform, used by tens of thousands of organizations to turn raw data into decisions that matter. The Lakeflow Engineering team owns the entirety of the ETL product line: Declarative Dataflow Graphs, Materialized Views, Structured Streaming, and Flows. We run what is arguably the world's largest data engineering platform, processing exabytes of data daily across tens of thousands of customers. The problems we solve (fault-tolerant incremental computation, stream-batch unification, declarative pipeline orchestration at massive scale) sit at the frontier of what distributed data systems can do. We're looking for a Senior Staff Engineer to serve as a technical architect and engineering leader for this platform. You'll own the long-term technical direction for how pipelines are defined, optimized, executed, and operated, shaping the systems that data teams worldwide depend on every day. You will work across one or more of the following areas to design and build the next generation of data infrastructure: - Declarative Dataflow Processing - Resource management - Efficient storage structures - Stream Processing and Complex Event Processing - Autonomic Computing and Self-Managing Systems The Impact you will have: - Architect and deliver a highly scalable, fault-tolerant platform for declarative pipelines and materialized views serving thousands of production customers. - Turn ambiguous, large-scale technical challenges into clear execution plans that ship incrementally and hold up at exabyte scale. - Bridge the gap between research and production by
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