Platform Engineer

• Design and build cloud-based data pipelines for ingesting, transforming, and storing large volumes of data.
• Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow or Dagster.
• Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities.
• Contribute to geospatial data processing workflows using tools such as Apache Sedona and native Iceberg geospatial functionality.
• Assist in developing and maintaining shared platform tooling and libraries that improve productivity and promote self-service capabilities across engineering and analytics teams.
• Monitor, tune, and troubleshoot the performance, cost, and reliability of data infrastructure components.
• Collaborate closely with cross-functional teams to ensure platform systems integrate smoothly with analytics, visualization, and downstream applications.

Intermediate Data Engineer – Platform Engineering

Senior Platform Engineer

Platform Engineer

Lead Power Platform Developer

Platform Engineer