Job description

Senior Data Engineer San Francisco, CA $180-240K 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 • 5+ 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 • Experience with Kafka and streaming data systems, with working knowledge of ClickHouse, Iceberg, or similar technologies • Experience with ingestion tools such as Fivetran, Airbyte, or Polytomic • Cloud-native architecture experience across AWS, GCP, or Azure • Exposure to designing data systems that meet compliance and governance requirements, including SOX or equivalent • Strong communication and collaboration skills, with the ability to contribute as a technical voice across engineering and business stakeholders

Requirements

Must-haves

Senior Data Engineer
San Francisco, CA
$180-240K base + equity
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
5+ 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
Experience with Kafka and streaming data systems, with working knowledge of ClickHouse, Iceberg, or similar technologies
Experience with ingestion tools such as Fivetran, Airbyte, or Polytomic
Cloud-native architecture experience across AWS, GCP, or Azure
Exposure to designing data systems that meet compliance and governance requirements, including SOX or equivalent
Strong communication and collaboration skills, with the ability to contribute as a technical voice across engineering and business stakeholders

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

ci/cdsqlpythonawsgcpazure

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