82 data warehouse engineer jobs at 73 companies in San Francisco, CA
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Data Engineer
San Francisco, California, United States
$153k-$207k/yrHybridFull Time
Benchling: Private software platform helping biotech R&D teams manage scientific data, experiments, automation, and AI.
3+ YOE3+ years building production data pipelines; strong SQL and Python; cloud data warehouse, Snowflake, dbt, orchestration, software engineering, governance, privacy, testing, and stakeholder communication experience.
Mill: Private food-waste technology making smart recyclers for homes, businesses, and cities.
3+ YOE3–5 years operating production data engineering systems; Python, SQL, cloud data warehouses, production pipelines, Infrastructure as Code, CI/CD, and transactional database experience required.
LegalZoomNasdaq Global Select Market: LZ: Public online legal-services serving individuals and small businesses with formation, compliance, estate-planning, and attorney-supported tools.
7+ YOE7+ years in data engineering; expert SQL, data modeling, Python, dbt, Airflow, Fivetran, cloud data warehouses, ETL/ELT, data quality, governance, scalable architecture, and mentoring experience.
Pivotal: Private aerospace manufacturer designing and building light electric eVTOL aircraft for recreational, public-safety, and defense users.
3+ YOEBachelor's degree in a technical discipline, 3+ years of professional data engineering experience, strong SQL and Python, AWS data stack experience, warehouse design, and analytical communication skills.
Zipline: Autonomous logistics and drone delivery service.
5+ YOE5+ years data or software engineering experience with Python or Rust, strong distributed/data-systems background, cloud and orchestration experience, data warehouse and lakehouse knowledge, and production reliability practices.
SoFiNasdaq Global Select Market: SOFI: Public U.S. digital financial-services helping members borrow, save, spend, invest, and protect their money.
4+ YOE4+ years data engineering experience with SQL, Python, cloud data warehouse platforms; production-grade pipelines using dbt, Airflow or equivalent; strong data modeling and documentation skills.
Anthro Energy: Private Stanford spinout developing advanced polymer electrolytes and lithium-ion cells for battery customers.
2+ YOEBachelor's degree in CS, Engineering, Mathematics, or scientific discipline; 2-4+ years data engineering experience; strong Python and advanced SQL; cloud data warehouse modeling; AWS/GCP/Azure and infrastructure-as-code; software engineering fundamentals.
Reducto: N agentic document platform helping enterprise AI teams automate document workflows.
5+ YOE5+ years data engineering experience; strong SQL, Python, dbt; experience with Snowflake or cloud warehouse; built and owned production data pipelines; ability to work directly with functional leaders.
Pacific Gas and Electric CompanyNYSE American: PCG-PA: Provides natural gas and electric service.
10+ YOEBA/BS in Computer Science, MIS, or related field; 10+ years data engineering/ETL experience; 5+ years data warehouse/lake implementation; 3+ years machine learning deployment; experience leading development teams.
Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE
E2B: Private open-source AI infrastructure providing secure cloud sandboxes for developers and AI agents.
6+ YOEApproximately 6+ years preferred; production data pipelines and warehouse models; strong SQL and Python; cloud data warehouse, transformation, orchestration, testing, monitoring, and stakeholder collaboration experience.
Strava: Consumer fitness and social-network app helping athletes track, analyze, share, and improve their activities worldwide.
3+ YOE3-5+ years data engineering experience; strong SQL and data modeling; experience with dbt, Airflow, Spark; proficiency in Python, Scala, Java, or Go; knowledge of data warehouse/lake technologies like Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake; cloud infrastructure (AWS, GCP, Azure).
San Francisco or New York City or Los Angeles or Seattle
$180k-$260k/yrHybridFull Time
Whatnot: Live shopping marketplace connecting buyers and sellers.
3+ YOE3+ years building data warehouses or distributed/event-driven systems; expertise in data modeling, pipelines, observability, cloud warehouses, Python/SQL; experience with payments/finance stakeholders.
Kafka, Debezium, dbt, Spark, Flink, Dagster, Airflow, Monte Carlo, Great Expectations, Snowflake, BigQuery, Redshift, Python, SQL, CI/CD
Hyperbolic: Open-access AI cloud platform providing GPU compute and inference services to startups, researchers, developers, and enterprises.
Track record building and maintaining data warehouses, experience designing data models, ensuring data reliability, deep Postgres knowledge, large datasets, production support, strong communication.
Alchemy: Private blockchain infrastructure providing APIs and developer tools to teams building onchain applications.
Experience building and operating production data pipelines; strong SQL and Python; Snowflake or comparable warehouse; workflow orchestration with Airflow and dbt; data modeling and quality testing.
Several years building production data pipelines with strong SQL; experience with cloud data warehouse and SQL transformation framework (Dataform, dbt); Python for data tooling; git-based workflow; agentic-driven workflows; ability to work independently.
Taskrabbit: IKEA-owned digital marketplace connecting people who need household services with skilled independent Taskers.
Experience with ELT pipelines, dbt, Airflow, Fivetran, cloud data warehouses, data modeling, SQL, and a programming language. Requires regular AI coding assistant use and familiarity with BI, semantic-layer, and streaming tools.
Whop: Private online marketplace and commerce platform helping creators and businesses sell digital products and services.
3+ YOERequires 3+ years in data or analytics engineering, advanced SQL and Python, modern warehouse and transformation tools, financial metrics expertise, GitHub, CI/CD, testing, documentation, and strong communication.
Parafin: Private financial-infrastructure providing embedded financing to small businesses through marketplaces and software platforms.
1+ YOE1–3 years analytics/engineering experience, strong SQL, Python, experience with data warehouses and BI tools, familiarity with dbt, excellent communication, bachelor's in quantitative field preferred.
United States or San Francisco or Alabama or Arkansas or California or Colorado or Florida or Georgia or Illinois or Kentucky or Massachusetts or Michigan or Montana or Missouri or Nevada or New Jersey or New York or North Carolina or Oregon or Pennsylvania or Texas or Washington or Utah or Virginia or Wisconsin
RemoteFull Time
Afresh: Private AI software helping grocery retailers order, manage, and sell food with less waste.
6+ YOERequires 6+ years in data engineering or analytics, advanced SQL, dimensional modeling, warehouse design, dbt, orchestration tools, semantic layers, large-scale pipelines, and AI-assisted analytics experience.
Superhuman: Private AI productivity platform for people and teams, combining writing, collaborative docs, email, and proactive AI agents.
3+ YOE3+ years building production data pipelines; proficient in SQL, Spark, Databricks, Delta Lake, dbt, Snowflake; strong data modeling and warehouse design; experience with workflow orchestration and CI/CD; AI-assisted development tools.
Spark, Databricks, SQL, Delta Lake, dbt, Snowflake, Airflow, Git, Codex, Claude Code