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Zipline

Builds and runs autonomous drone delivery

Senior Analytics Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USA$155k - $210k

About the Job

Requirements

  • At least 7 years of analytics engineering, data engineering, or software engineering experience owning production systems, with a track record as a directly responsible individual accountable for mission-critical business outcomes.
  • Direct experience operating production systems through failures, leading incident response, and implementing durable fixes and prevention measures.
  • Deep SQL expertise and production experience with Snowflake and dbt or equivalent, including authoring performant transformations and managing model versioning and deployments.
  • Production Python experience for EL pipelines, validation, and automation, and familiarity with Airflow or equivalent orchestration tools.
  • Track record building semantic layers or governed metrics consumed by business intelligence and artificial intelligence systems, and designing data contracts with downstream service-level agreements.
  • Experience operating under strict correctness and latency service-level agreements in logistics, manufacturing, aviation, or other regulated operational environments, with familiarity with auditability, lineage, and trace requirements.
  • Strong experience implementing automated data quality, anomaly detection, and incident-response runbooks, and quantifying baselines and improvements.
  • Ability to make engineering tradeoffs among cost, latency, and reliability, and drive cross-team decisions with engineers and operations owners.
  • Preferred to be based in the Bay Area and able to work on-site at least 3 days per week; able to travel to hubs and factories approximately 10% annually and be flexible for occasional early-morning or after-hours incident responses.
  • Bachelor's degree in a quantitative field or equivalent experience.

Responsibilities

  • Own analytics products end-to-end by defining success metrics, designing schemas, implementing ETL/ELT pipelines, testing accuracy, and operating production datasets; remain accountable for data correctness, freshness service-level agreements, and incident response through resolution.
  • Deliver the first six-month roadmap items as directly responsible individual, including consolidating aircraft-availability signals into a fleet-health dataset, building governed delivery-performance metrics linked to raw-event lineage, or automating inventory-reconciliation reports used daily by manufacturing and operations leads.
  • Implement automated data-quality checks, anomaly detection, and rollback procedures with measurable alert thresholds and agreed remediation service-level agreements with operations owners.
  • Build semantic layers, governed metrics, and documented data contracts consumed by business intelligence and artificial intelligence tools; enforce backward compatibility and versioning to protect downstream consumers.
  • Partner with Software, Hardware, Field Operations, and Manufacturing to fix upstream data-quality issues at the source; prioritize tradeoffs in cost, latency, and reliability, and coordinate schema-change ship schedules.
  • Define and report key performance indicators including data-accuracy error rate, pipeline mean time to recovery, consumer adoption, reduced manual reconciliation time, and operational decisions enabled, such as on-time delivery improvement attributable to analytics changes.
  • Extend the internal artificial-intelligence analytics harness by adding evaluation tests, ground-truth datasets, and conservative fallback behaviors so operational AI answers are explainable and auditable.
  • Set standards for testing, dbt continuous integration and deployment, production monitoring, and runbooks; mentor and elevate the team, and onboard and review work from junior analytics engineers.

About the Company

Zipline

Builds and runs autonomous drone delivery

Zipline builds and operates autonomous drone delivery networks for retailers, restaurants and healthcare systems that need to move products without road traffic. Its electric aircraft carry food, prescriptions and other supplies from partner sites or distribution hubs to customers and health facilities. The company combines aircraft, charging equipment and delivery software with flight operations, so partners buy a logistics service rather than manage their own drones. Merchants use its ordering and tracking tools to reach customers, while governments and health systems contract for medical supply delivery. Zipline was founded in 2014 and has its headquarters in South San Francisco, California.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$3.6B
Headquarters
South San Francisco, CA
Founded
2014

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