Senior Analytics Engineer: Production Data Platform Leader

Zipline; South San Francisco (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Zipline in the Bay Area is seeking a Senior Analytics Engineer to own analytics infrastructure and datasets that inform operational decisions across manufacturing, inventory, flight scheduling, and delivery. On-site 3+ days/week with occasional travel to hubs.

You will ship production-grade data models and pipelines, ensure accuracy and latency SLAs, mentor juniors, and partner with Software, Hardware, Field Ops, and Manufacturing teams to improve data quality and enable trusted BI and AI

Qualifications

• 7+ years in analytics engineering, data engineering, or software engineering with production ownership.
• Proven incident response experience and durable fixes for production systems.
• Deep SQL expertise and production work with Snowflake and dbt.
• Production Python experience for EL pipelines, validation, and automation.
• Experience building semantic layers and governed metrics for BI/AI systems.

Responsibilities

• Own end-to-end analytics products and production datasets, ensuring accuracy and SLAs.
• Deliver the first 6-month roadmap items as DRI for key analytics initiatives.
• Implement automated data quality checks, anomaly detection, and incident response runbooks.
• Build semantic layers and data contracts consumed by BI and AI tools, ensuring backward compatibility.
• Collaborate with Software, Hardware, Field Ops, and Manufacturing to fix upstream data quality issues.
• Measure impact using KPIs like data accuracy, MTTR, and operational improvements.
• Extend analytics harness with tests, datasets, and auditable AI outputs.
• Mentor and elevate the analytics team through standards for testing and monitoring.

Skills

DRI ownership

SQL proficiency

Incident response

Data quality

Semantic layers

Data contracts

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

dbt

Airflow

Job description

Zipline in the Bay Area is seeking a Senior Analytics Engineer to own analytics infrastructure and datasets that inform operational decisions across manufacturing, inventory, flight scheduling, and delivery. On-site 3+ days/week with occasional travel to hubs.

You will ship production-grade data models and pipelines, ensure accuracy and latency SLAs, mentor juniors, and partner with Software, Hardware, Field Ops, and Manufacturing teams to improve data quality and enable trusted BI and AI