Data Engineer Lead - Energy Trading

Vistra is hiring a Data Engineer Lead in Irving, TX, responsible for designing and maintaining data pipelines and systems to support trading analysts. The role requires extensive experience in data engineering, proficiency in programming languages like Python and SQL, and knowledge of cloud platforms. Key tasks include developing ETL processes and ensuring data quality and reliability. This is a full-time position with no degree requirement mentioned.
Job Summary

We are seeking a skilled Data Engineer Lead to join our team in Irving, Texas. The ideal candidate will have extensive experience in designing, building, and maintaining robust data pipelines and systems.

The successful candidate will work closely with trading analysts and IT teams to ensure that data systems are scalable, reliable, and aligned with business needs. This role is responsible for ensuring the availability, reliability, and performance of data infrastructure, supporting trading analysts by providing clean and well-structured data for advanced analytics use cases.
About Vistra

Vistra (NYSE: VST) is a leading Fortune 500 integrated retail electricity and power generation company based in Irving, Texas. We provide essential power resources to customers, businesses, and communities from California to Maine.

We are committed to our purpose, 'lighting up lives, powering a better way forward' and guided by four core principles: we do business the right way, we work as a team, we compete to win, and we care about our stakeholders.
Key Responsibilities
• Design, build, and maintain efficient and scalable pipelines to support ingestion, transformation, and storage
• Develop and optimize ETL processes to ensure timely and accurate data availability for analytics and BI
• Implement data quality and validation processes to ensure the integrity and reliability of data
• Manage and monitor data systems to ensure high availability, reliability, and performance
Requirements
• Extensive training in computer science, engineering, data science, or a related field
• 5+ years of relevant work experience in data engineering, data management, or a related role
• Strong proficiency in programming languages such as Python, SQL, and experience with data processing frameworks like Apache Spark or Hadoop
• Experience with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with data warehousing solutions like Snowflake or Redshift