Senior Data Engineer - Architect Global Data Platforms

NextGenEnergyJobs

Washington (District of Columbia)

Hybrid

USD 170,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Comprehensive Medical, Dental, and Vis
Health Savings Account (HSA) with a雜?
Paid Time Off
16 Weeks of Paid Parental Leave
Wellness Program and EAP
Home Office Reimbursement
Monthly Phone and Internet Reimbursem
Tuition Reimbursement and access to L|
Equity
Commuter Benefits

Job summary

Planet designs, builds, and operates the largest constellation of imaging satellites in history. As a Senior Data Engineer, you will own and architect production data ecosystems, partnering with cross-functional teams to deliver enterprise-scale solutions for defense and intelligence customers.

This hybrid role requires 3 days in Washington DC or Denver, with a focus on data integrity and scalable pipelines.

Qualifications

  • 10+ years of data engineering with leadership experience.
  • Bachelor’s degree in a relevant field.
  • End-to-end data architectures for global-scale, customer-facing solutions.
  • Proficiency in Python and SQL for ETL/ELT pipelines.
  • Ability to lead problem-solving in high-stakes environments.
  • Strong communication translating technical work to business requirements.
  • Experience with CI/CD workflows using GitLab CI, Docker, and Kubernetes.
  • Experience with cloud-native architectures (GCP preferred).
  • Knowledge of geospatial datasets and related concepts.

Responsibilities

  • Own, architect, and build production-scale data ecosystems using modern cloud technologies.
  • Collaborate with cross-functional leadership to align data solutions with business needs.
  • Drive end-to-end data architecture and production deployment including CI/CD and orchestration.
  • Lead the evolution of complex data systems for defense and intelligence customers.

Skills

Python
SQL
CI/CD
Leadership
Communication
Cloud architectures
Geospatial datasets

Education

Bachelor's degree

Tools

Docker
Kubernetes
GitLab CI
Terraform
dbt
Parquet
GCP

Job description

Planet designs, builds, and operates the largest constellation of imaging satellites in history. As a Senior Data Engineer, you will own and architect production data ecosystems, partnering with cross-functional teams to deliver enterprise-scale solutions for defense and intelligence customers.

This hybrid role requires 3 days in Washington DC or Denver, with a focus on data integrity and scalable pipelines.

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