Data Engineer

• Work closely with product teams to help define and execute technical criteria
• Architect and maintain robust data ingestion pipelines feeding the application and analytics
• Design well-modeled, layered tables with clean schemas that transform raw data into analytics-ready data
• Onboard client data from varied sources, including Databricks via Delta Sharing, and integrate it with existing services and workflows
• Make pipelines reliable and automated through data quality tests, monitoring, safe reprocessing, and schema change handling
• Build a documented, well-tested data foundation for the application, analytics, and future AI use cases

• Mid-to-senior data engineer with end-to-end ownership of production data pipeline design, working as an autonomous individual contributor
• Experience designing and building production ingestion pipelines from APIs, files, and shared-data sources
• Experience using a workflow orchestrator such as Airflow, Dagster, or Step Functions
• Production experience with a cloud data warehouse; Snowflake preferred
• Strong SQL
• Production experience in Python preferred, or Node.js/TypeScript
• AWS or another enterprise cloud platform
• Daily use of agentic AI coding tools
• Experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD
• Strong English and communication skills
• dbt is a plus
• Experience preparing data for AI/LLM use is a plus
• Infrastructure as code, such as Terraform, is a plus
• Exposure to energy, utilities, or sustainability data is a plus

• Remote work
• 40 hours per week
• Full-time contract through a payroll platform