Zipline
Senior Data Engineer - Data Platform
South San Francisco, California, USA +1 · Senior · Full-time · Posted Jul 21, 2026
- Location
- South San Francisco, California, USA
South San Francisco, California, United States - Experience
- 5+ years of professional software or data engineering experience.
About the job
Builds and operates Zipline’s cloud data platform, making operational telemetry and downstream datasets reliable, discoverable, performant, and cost-conscious for delivery decisions, analytics, and ML.
What you'll do
- Design and operate batch and near-real-time ingestion, transformation, validation, and serving pipelines.
- Build orchestration patterns and shared engineering standards; own lakehouse and warehouse foundations.
- Establish data quality and reliability practices, improve system performance and cost, and align partner teams on platform interfaces.
What they ask for
- 5+ years of professional software or data engineering experience, including production systems built primarily with Python or Rust.
- Strong distributed-systems and data-systems foundations, with hands-on experience building and operating pipelines and data infrastructure at scale.
- Experience with cloud infrastructure and production operations; workflow orchestration tools such as Prefect or Airflow.
- Experience with modern data warehouses, lakehouse table formats, data modeling, and transformation workflows such as dbt.
Nice to have
- High-volume telemetry or sensor data, data observability, infrastructure-as-code, or safety-critical systems experience.
- AWS and Kubernetes; Snowflake is preferred.
Pay
$160.000-$200.000 USD starting cash range (base salary; posting describes it as starting cash).
Tools
Python, Rust, AWS, Kubernetes, Prefect, Airflow, Snowflake, dbt
AI focus
Provides trusted data inputs for ML; no specific AI development responsibilities are stated.
Model-written summary · the original posting is authoritative