Senior Data Engineer — Global Data Pipelines & Cloud

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

Benefits offered by this job

Health insurance

HSA with company contribution

Paid time off & holidays

Parental leave (16 weeks)

Wellness program

Home office reimbursement

Phone & Internet reimbursement

Tuition reimbursement

Equity

Commuter benefits

Volunteering PTO

Job summary

Planet is seeking a Senior Data Engineer to own and build production-grade data ecosystems using modern cloud technologies. You will partner with cross-functional teams to translate complex requirements into scalable data solutions and ensure CI/CD integration for production systems.

In this role, you will guide data architecture evolution for global monitoring products and work in a dynamic, hybrid environment, contributing to defense-related data services and mission-critical decision-making.

Qualifications

• Bachelor's degree in a relevant field.
• Expert-level proficiency in Python and SQL for complex ETL/ELT pipelines.
• Experience designing end-to-end data architectures for global-scale, customer-facing solutions.
• Ability to lead problem-solving initiatives in a dynamic, high-stakes environment.
• Strong communication skills translating technical and business requirements.
• Experience with cloud-native architectures (GCP preferred).
• Experience tuning Parquet for sub-second query performance.

Responsibilities

• Architect and oversee robust, high-availability data pipelines and establish best practices for maintenance and optimization.
• Collaborate with global Product and Engineering leaders to design and execute a long-term data strategy.
• Drive mentorship, design reviews, and architectural integrity across the Data Team.

Skills

6-8 years experience

Bachelor's degree

Python

SQL

CI/CD

GitLab CI

Docker

Kubernetes

Cloud-native architecture

Parquet storage

Education

Bachelor's degree

Tools

GitLab CI

Docker

Kubernetes

Terraform

dbt

Job description

Planet is seeking a Senior Data Engineer to own and build production-grade data ecosystems using modern cloud technologies. You will partner with cross-functional teams to translate complex requirements into scalable data solutions and ensure CI/CD integration for production systems.

In this role, you will guide data architecture evolution for global monitoring products and work in a dynamic, hybrid environment, contributing to defense-related data services and mission-critical decision-making.