Data Engineer

Responsibilities:

• Work closely with product teams to define and execute technical criteria.
• Architect and maintain robust data ingestion pipelines that feed both application and analytics.
• Help onboard client data from sources like Databricks via Delta Sharing and integrate it with existing services.

Requirements:

• Mid-to-senior data engineer with end-to-end production pipeline design experience.
• Strong SQL and production Python; experience with Snowflake, AWS, and workflow orchestrators.
• AI-native development with agentic coding tools and CI/CD integration.

Nice to Have:

• dbt, preparing data for AI/LLM use, infrastructure as code, and exposure to energy or sustainability data.