Data Platform Engineer

The role

You will design, build, and maintain large-scale data pipelines using Apache Airflow and Kubernetes. You will also help scale and harden the data platform by improving DAG design, reliability, and observability.

What you will do

• Design, build, and maintain data pipelines at scale
• Develop and evolve DAGs that orchestrate complex, multi-step workflows
• Work with the in-house ML team on feature pipelines and model deployment
• Coordinate with the hardware team on ingestion and formats
• Scale and harden the data platform
• Improve DAG design and execution, resource and cost tuning, reliability and observability
• Contribute to running Airflow and Kubernetes in the cloud
• Own work end-to-end including design, implementation, testing, and operation

Required qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Math, or a related field (or equivalent experience)
• 4+ years of data engineering or backend engineering experience with a focus on pipelines, orchestration, or platform
• Hands-on experience building and maintaining production data pipelines (e.g. Airflow, Prefect, Luigi, or similar)
• Cloud experience is required
• Comfort with Kubernetes and container-based deployments in practice
• Ability to own work end-to-end
• Strong collaboration and communication

Nice to have

• Experience in early-stage or fast-moving environments where scope and ownership evolve
• Experience with Apache Airflow (especially 3.x) and/or Astronomer
• Experience with geospatial data, imagery, lidar, or point clouds
• Interest in utilities, forestry, or field operations and how data pipelines support those domains

Benefits

• Competitive salary and equity package
• Comprehensive medical, dental, and vision coverage for you and your eligible dependents
• Life insurance and short- and long-term disability coverage
• 16 weeks of fully paid parental leave to support all new parents
• Flexible, unlimited paid time off
• 401(k) retirement savings plan
• Free OneMedical membership
• Commuter benefits
• Snacks, goodies, and team lunches provided twice a week

About the company

Treeswift empowers energy companies to modernize their field work through physical AI, hardware, sensors, and software. The company is headquartered in midtown Manhattan with additional offices in San Francisco and Philadelphia.