Senior Analytics Engineer

Join Zipline, a pioneering logistics company, as a Senior Analytics Engineer. In this role, you will be responsible for owning analytics infrastructure and datasets that directly inform operational decisions across the company. You will design and build Zipline's central data platform, ensuring data accuracy, freshness, and incident response. You will also mentor and elevate the team, set standards for testing and production monitoring, and report to the Analytics Engineering Lead. This position is based in the Bay Area and requires at least 7 years of experience in analytics engineering, data engineering, or software engineering.

• Ownership of analytics infrastructure and datasets that inform operational decisions across the company.
• End-to-end management of analytics products, including defining success metrics, designing schemas, implementing ETL/ELT pipelines, and ensuring data correctness.
• Collaboration with cross-functional teams to address upstream data quality issues and prioritize engineering tradeoffs.
• Strong experience implementing automated data quality, anomaly detection, and incident response runbooks; able to quantify baseline and improvements (e.g., reduced incidence of errors by X%)
• Direct experience operating production systems under failure: you have seen systems break, led incident response, and implemented durable fixes and prevention measures
• 7+ years of analytics engineering, data engineering, or software engineering experience with ownership of production systems; demonstrated history as a DRI accountable for mission-critical business outcomes
• Education: bachelor’s degree in a quantitative field or equivalent experience
• Production Python experience for EL pipelines, validation, and automation; familiarity with Airflow or equivalent orchestration tools
• Comfortable making engineering tradeoffs: cost vs. latency vs. reliability, and driving cross-team decisions with engineers and ops owners
• Experience operating under strict correctness and latency SLAs in logistics, manufacturing, aviation, or other regulated operational environments; familiarity with auditability, lineage, and trace requirements
• Track record building semantic layers/governed metrics consumed by BI and AI systems, and designing data contracts with downstream SLAs
• Location & logistics: Bay Area-based and able to work on-site at least 3 days/week preferred; travel to hubs/factories ~10% annually; flexible for occasional early-morning or after-hours incident responses
• Deep SQL expertise and production experience with Snowflake and dbt (or equivalent); able to author performant transformations and manage model versioning and deployments
• We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!