Senior Full Stack Software Engineer, Data
Zipline · South San Francisco, California, USA
About this role
## About Zipline Zipline is the world’s largest and most experienced drone delivery service. We’re 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). ## About You and the Role 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 business units across manufacturing and inventory, flight scheduling and dispatch, customer delivery, and more. As a **Senior Full Stack Software Engineer, Data**, you’ll own analytics infrastructure and datasets that directly inform operational decisions across the company—helping ensure 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’ll ship production-grade data models and pipelines with strict requirements for **accuracy, latency, and auditability** for live logistics and regulated aviation workflows. **Location:** Bay Area, CA (on-site 3+ days/week) preferred. Occasional travel to hubs and manufacturing sites required (~10% annually). You’ll report to the Software Engineering Analytics 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). ## What You’ll Do - **Own end-to-end analytics products:** define success metrics, design schemas, implement ETL/ELT pipelines, test for accuracy, and operate datasets in production. Own 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 dataset - 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. - **Build semantic layers and governed metrics** with documented data contracts consumed by BI and AI tools; enforce backward compatibility and versioning. - **Partner cross-functionally** (Software, Hardware, Field Ops, Manufacturing) to fix upstream data quality issues at the source; coordinate schema changes and ship schedules. - **Instrument and measure impact** using KPIs such as data-accuracy error rate, pipeline MTTR, consumer adoption, reduction in manual reconciliation time, and operational decision improvements. - **Extend Zipline’s internal AI analytics harness** with evaluation tests, ground-truth datasets, and conservative fallback behaviors for explainable and auditable AI answers. - **Mentor and elevate the team:** set standards for testing, dbt CI/CD, production monitoring, and runbooks; onboard and review junior analytics engineers’ work. ## What You’ll Bring - **7+ years**
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