Data Platform Engineer

Treeswift empowers energy companies to modernize their field work with a data platform that processes LiDAR and imagery data through AI models to deliver actionable analytics. As a Data Platform Engineer, you will design, build, and maintain data pipelines at scale and contribute to efforts to develop new workflows in work planning, construction, and disaster response.

Requirements

• 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).
• Experience with cloud object storage and data-at-scale (we use AWS and S3; cloud experience is required, but prior AWS experience is not).
• Comfort with Kubernetes and container-based deployments in practice: running workloads on K8s, resource and volume configuration, and debugging pod/worker issues.
• Ability to own work end-to-end: design, implement, test, and operate pipelines and related tooling.

Benefits

• 401k Matching
• Generous Paid Time Off