Staff Data Engineer

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Staff Data Engineer

San Francisco, CA

$240K-$300K base + equity

We’re partnered with one of the most recognized developer platforms in the world, trusted by engineering teams at OpenAI, Meta, Netflix, and Adobe, who are scaling their data platform and looking to hire a Senior Data Engineer to own the pipelines and foundations at the core of their data ecosystem.

You’ll own the full pipeline lifecycle, from ingestion architecture through to analytics-ready data, working closely with Data Platform Engineers and partnering with analysts and data scientists who depend on what you build every day.

What You’ll Do

Design and build scalable ingestion pipelines and orchestration frameworks across structured, semi-structured, and event-based sources

Own reliability, observability, and performance across the full pipeline lifecycle from raw ingestion to analytics-ready delivery

Build and maintain dbt transformation pipelines serving as the single source of truth across Finance, Product, GTM, and Engineering

Ensure revenue and billing data meets the accuracy and auditability required for public company reporting, including SOX compliance

Apply software engineering principles throughout: CI/CD, testing, observability, version control, and automation

Enable self-serve analytics through semantic layer development, strong abstractions, and clear documentation

Champion data quality and governance across classification, ownership, access policies, and data lifecycle management

What We’re Looking For

8+ years in data engineering or a hybrid data/analytics engineering role, with a track record of owning pipelines end-to-end in high-growth or enterprise environments

Advanced SQL and dbt (Core or Cloud), Snowflake or comparable cloud data warehouse, Python, and Airflow

Deep experience with Kafka and streaming data systems, with strong working knowledge of ClickHouse, Iceberg, or similar technologies

Experience with ingestion tools such as Fivetran, Airbyte, or Polytomic

Cloud-native architecture expertise across AWS, GCP, or Azure

Experience designing and scaling data systems to support petabyte-level workloads

Track record of building data infrastructure that meets compliance and governance requirements, including SOX or equivalent

Strong communication and collaboration skills, with the ability to operate as a senior technical voice across engineering and business stakeholders

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