Senior Analytics Engineer

Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.

Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.

Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.

We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.

The P2 Analytics Platform team's mission is to supercharge every function at Zipline with the data they need to optimize every day. We design and build Zipline's central data platform to provide mission-critical insights for Zipline's wide variety of business units, from manufacturing and inventory, to flight scheduling and dispatch, to customer delivery, and more.

As a Senior Analytics Engineer, you are the owner of analytics infrastructure and datasets that directly inform operational decisions across the company, ensuring planes launch on time, inventory is accurate, and exception workflows keep customers and regulators satisfied. This role sits at the intersection of analytics, software engineering, and operations: you will ship production-grade data models and pipelines that must meet strict accuracy, latency, and auditability requirements for live logistics and regulated aviation workflows.

Location: Bay Area, CA (on-site 3+ days/week) preferred, with occasional travel to hubs and manufacturing sites required (~10% annually). You will report to the Analytics Engineering Lead and be the DRI for at least one cross-functional analytics product (e.g., delivery performance metrics, factory yield datasets, or safety event lineage).

• Own end-to-end analytics products: define success metrics, design schemas, implement ETL/ELT pipelines, test for accuracy, and operate datasets in production. Be accountable for data correctness, freshness SLAs, and incident response until resolved.

• Deliver the first 6-month roadmap items as DRI (examples): consolidate multi-source aircraft availability signals into a single fleet health data set; build governed delivery-performance metrics with lineage to raw events; automate inventory reconciliation reports used by manufacturing and ops leads daily.

• Implement rigorous validation: automated data-quality checks, anomaly detection, and rollback procedures with measurable alert thresholds and agreed remediation SLAs with ops owners.

• Build semantic layers, governed metrics, and documented data contracts consumed by BI and AI tools; enforce backward-compatibility and versioning so downstream