Data Engineer – AWS / Spark / Python

Location: Houston, TX (Hybrid / 3-days per week on-site)

Industry: Energy / Power

About the Role

We’re looking for an AWS Data Engineer to join an agile team building and optimizing data pipelines that support large‑scale energy and power data platforms. This role blends data engineering with strong software engineering practices.

What You’ll Do

• Build and optimize ETL pipelines for power and electricity data.
• Develop and tune Spark jobs using Databricks.
• Work in AWS using tools such as Glue Catalogs and Athena.
• Write production‑quality Python code (packages, shared libraries, SDKs) in a team‑based software engineering environment.
• Support key initiatives including MDP ITRON integration and CI/CD pipeline refactoring.
• Participate as an active member of a Scrum team, contributing to design, development, and technical QA.

What You’ll Bring

• 7+ years of experience in data engineering, systems implementation, or technical architecture.
• 3+ years of hands‑on experience with:
• AWS cloud architecture
• Spark / Databricks
• ETL pipelines and data lake or warehouse architectures
• DevOps and CI/CD pipelines
• Strong Python software development experience (beyond scripting).
• Experience working in Agile/Scrum environments.