Senior Data Engineer, Python & SQL Pipelines (Arlington)

Planet's global monitoring products give defence and intelligence customers frequent, wide-area views of what is changing. As a Senior Data Engineer on the GMS Data Team you design and build the data systems behind these products, end to end.

Key responsibilities

• Architect high-availability data pipelines and set standards for running them
• Build data solutions from design to CI/CD, orchestration and automated QA
• Turn complex requirements from product and engineering into scalable systems
• Lead the evolution of the data systems for global monitoring

Requirements

• 6 to 8 years of data engineering with technical leadership
• A degree in a relevant field
• Expert Python and SQL for ETL/ELT, including event-driven pipelines
• End-to-end data architecture for customer-facing products
• GitLab CI, Docker and Kubernetes

Location and schedule

• Hybrid: you work from the Arlington, Virginia office 3 days a week

Salary and benefits

US base salary $142,800 to $178,500 a year, plus possible bonus and equity. Benefits include medical, dental and vision cover, 16 weeks of paid parental leave, and tuition support.

How to apply

Apply on the company's own site.