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Active9h ago

Senior Staff Software Engineer - Lakeflow Pipelines Datasets

DatabricksΒ·πŸ“ Mountain View, California, United States

Employment

Full-Time

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$228.6K – $314.3K/yr

Role overview

Job description

RDQ427R204 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 th

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Role market pulse

How Software Engineer demand looks in United States

77/100 Β· rising

Live jobs

1,239

Posted 30d

537

30d movement

+60.8%

Remote share

27.5%

Salary listed

73.9%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

What We’re Looking For: 10+ years of experience building, operating, and evolving large-scale distributed systems in production; BS, MS, or PhD in Computer Science or a related field (or equivalent depth of experience); government license for such positions, and Employer may decline to proceed with an applicant on this basis alone

Department Β· Executive Engineering - Pipeline

Databricks logo

Hiring company

Databricks

Technology

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.

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