Senior Data Engineer: Global-Scale Data Pipelines

Planet Labs PBC; Arlington (VA); Hybrid; USD 161,000 - 201,000; Full time

Benefits offered by this job

Medical/Dental/Vision plans

HSA with company contribution

Paid Time Off

Parental leave 16 weeks

Wellness program

Home office reimbursement

Phone/internet reimbursement

Tuition reimbursement

Equity

Commuter benefits

Volunteer PTO

Job summary

Planet Labs PBC is seeking a Senior Data Engineer to own and design enterprise-scale data ecosystems using cloud technologies. You will partner with cross-functional teams to translate complex requirements into scalable data solutions, from architecture to CI/CD and production integration.

The role emphasizes leading data architecture evolution for defense-oriented products, with strong emphasis on data integrity, performance, and collaboration across product and engineering.

Qualifications

• 10+ years of data engineering with leadership experience.
• Bachelor's degree in a relevant field.
• Expert in end-to-end data architectures for global-scale, customer-facing solutions.
• Expert-level Python and SQL for ETL/ELT pipelines, including event-driven architectures.

Responsibilities

• Architect and oversee robust, high-availability data pipelines.
• Collaborate with global product, commercial and engineering leads to design long-term data strategy.
• Drive mentorship, design reviews, and architectural integrity across the Data Team.

Skills

Python

SQL

Data pipelines

Cloud data

GCP

Kubernetes

Docker

CI/CD

Leadership

Communication

Education

Bachelor's degree in a relevant field

Tools

GitLab CI

Terraform

dbt

Parquet

Docker

Kubernetes

Job description

Planet Labs PBC is seeking a Senior Data Engineer to own and design enterprise-scale data ecosystems using cloud technologies. You will partner with cross-functional teams to translate complex requirements into scalable data solutions, from architecture to CI/CD and production integration.

The role emphasizes leading data architecture evolution for defense-oriented products, with strong emphasis on data integrity, performance, and collaboration across product and engineering.