Senior Data Engineer (Data Platform)

Join Zipline, a company that builds and operates autonomous delivery systems for essential goods. As a Senior Data Engineer on the Data Platform team, you will be responsible for building cloud data foundations, managing the data backbone, and ensuring the reliability and performance of operational telemetry and downstream datasets. You will work closely with various teams, including service, telemetry, embedded, analytics, data science, and ML. This is a full-time position based in South San Francisco.

• Conception et mise en œuvre de fondations de données cloud pour transformer la télémétrie opérationnelle en entrées fiables pour les décisions.
• Responsabilité de l'ensemble de l'infrastructure de données, y compris l'ingestion, l'orchestration, le lac de données et les systèmes d'entrepôt.
• Collaboration avec diverses équipes pour établir des contrats de données, des métadonnées, des schémas et des vérifications de qualité.
• Experience with cloud infrastructure and production operations, ideally AWS and Kubernetes, plus workflow orchestration tools such as Prefect or Airflow
• Clear technical communication and influence. Experience with high-volume telemetry or sensor data, data observability, infrastructure-as-code, or safety-critical systems is strongly preferred
• 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
• This is a full-time role based in South San Francisco
• Demonstrated judgment on cost, performance, and reliability, including production guardrails, backfills, idempotency, retries, safe deployments, and data-outage runbooks
• Experience with modern data warehouses, preferably Snowflake, and lakehouse table formats, data modeling, and transformation workflows such as dbt