Senior Data Engineer — Global-Scale Data Pipelines

Planet

Arlington (VA)

Hybrid

USD 161,000 - 201,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision plans
HSA with company contribution
Paid time off
Parental leave (16 weeks)

Job summary

Planet is seeking a Senior Data Engineer to own and build production-grade data ecosystems using cloud technologies. You will translate complex requirements into robust data solutions and mentor the Data Team across architecture and CI/CD practices.

You will work with leadership to shape a global data strategy for monitoring products, supporting defense and intelligence customers, in a hybrid role based from DC or Denver with occasional travel.

Qualifications

  • 10+ years of relevant experience in data engineering with a track record of technical leadership.
  • Bachelor’s degree in a relevant field.
  • Expert-level proficiency in Python and SQL for complex ETL/ELT pipeline construction.
  • Experience with cloud-native architectures (GCP preferred).

Responsibilities

  • Architect and oversee robust, high-availability data pipelines while establishing the standards for maintaining, troubleshooting, and optimizing existing ecosystems.
  • Collaborate with global product, commercial and engineering leads and peers to design and execute a long-term data strategy for products in your scope.
  • Drive high-level mentorship, technical design reviews, and architectural integrity across the Data Team while setting standards for code quality.

Skills

Python
SQL
ETL/ELT
Data pipelines
Cloud
GCP

Education

Bachelor’s degree

Tools

GitLab CI
Docker
Kubernetes
dbt
Terraform

Job description

Planet is seeking a Senior Data Engineer to own and build production-grade data ecosystems using cloud technologies. You will translate complex requirements into robust data solutions and mentor the Data Team across architecture and CI/CD practices.

You will work with leadership to shape a global data strategy for monitoring products, supporting defense and intelligence customers, in a hybrid role based from DC or Denver with occasional travel.

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