2 months ago
Base Salary
$160k - $200k/yr
Responsibilities
- Design and operate cloud services for data ingestion, transformation, validation, and serving across batch and near-real-time pipelines.
- Build orchestration patterns, shared libraries, templates, CI checks, and golden paths for standardized dataset publishing and transformations.
- Own lakehouse and warehouse foundations, including table management, schema evolution, partitioning, workload isolation, access patterns, and lifecycle management.
- Establish data contracts, metadata, naming, versioning, lineage, freshness, quality checks, and service objectives.
- Diagnose distributed-system bottlenecks and improve throughput, query performance, concurrency, storage efficiency, and infrastructure or warehouse costs.
- Partner with service, telemetry, embedded, analytics, data science, and ML teams; lead technical reviews and align teams on platform interfaces and tradeoffs.
Requirements
- 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, ideally AWS and Kubernetes, plus workflow orchestration tools such as Prefect or Airflow.
- Experience with modern data warehouses, preferably Snowflake, lakehouse table formats, data modeling, and transformation workflows such as dbt.
- Demonstrated judgment regarding cost, performance, and reliability, including guardrails, backfills, idempotency, retries, safe deployments, and data-outage runbooks.
- Clear technical communication and influence.
- Strongly preferred: experience with high-volume telemetry or sensor data, data observability, infrastructure-as-code, or safety-critical systems.
Benefits
- Full-time role based in South San Francisco.
- Benefits may include medical, dental, and vision insurance, paid time off, equity compensation, overtime pay, and discretionary annual or performance bonuses.
Tech Stack
Categories
Data Engineering
About Zipline
Zipline designs, builds, and operates autonomous drone delivery systems for healthcare, retail, and public-sector customers. The privately held company runs end-to-end logistics—aircraft, software, and fulfillment—to deliver blood, vaccines, medicines, and consumer goods. Founded in 2014 and headquartered in South San Francisco, Zipline operates across multiple continents; notable work includes Rwanda’s national blood deliveries and U.S. home delivery pilots with Walmart.