Senior Data Engineer: Global Cloud Data Pipelines

Planet; Arlington (VA); Hybrid; USD 143,000 - 179,000; Full time

Benefits offered by this job

Comprehensive Medical, Dental, and Vis

Health Savings Account with company

Paid time off

Paid parental leave 16 weeks

Wellness program

Home office reimbursement

Monthly phone and internet

Tuition reimbursement

Equity

Commuter benefits

Volunteering Paid Time Off

Job summary

Planet is seeking a Senior Data Engineer to own and build production-grade data ecosystems at a global scale. You will design end-to-end architectures, lead cross-functional collaboration, and implement CI/CD pipelines across data platforms.

The role emphasizes defense-focused data solutions, collaboration with Product and Engineering, and leadership to evolve complex systems in a hybrid Arlington, VA environment. Strong Python/SQL and GCP experience are favored.

Qualifications

• 6-8 years of data engineering experience with leadership.
• Bachelor’s degree in a relevant field.
• End-to-end data architecture for global-scale, customer-facing solutions.
• Expert Python and SQL for ETL/ELT pipelines.
• Strong problem-solving and communication skills.
• Experience with CI/CD, GitLab CI, Docker, and Kubernetes.
• Cloud-native architectures (GCP preferred).
• Experience with Parquet storage for fast queries.

Responsibilities

• Architect and oversee high-availability data pipelines and optimize ecosystems.
• Collaborate with global product, commercial and engineering teams to define data strategy.
• Provide technical design reviews and mentorship to the Data Team, upholding coding standards.

Skills

Python

SQL

ETL/ELT pipelines

Data architecture

CI/CD

GitLab CI

Docker

Kubernetes

GCP

Parquet

Cloud-native architectures

Education

Bachelor’s degree

Tools

GitLab CI

Docker

Kubernetes

dbt

Terraform

Parquet

GCP

Job description

Planet is seeking a Senior Data Engineer to own and build production-grade data ecosystems at a global scale. You will design end-to-end architectures, lead cross-functional collaboration, and implement CI/CD pipelines across data platforms.

The role emphasizes defense-focused data solutions, collaboration with Product and Engineering, and leadership to evolve complex systems in a hybrid Arlington, VA environment. Strong Python/SQL and GCP experience are favored.