
This full-time Lead Data Engineering role within the Big Data and Advanced Analytics department focuses on building an Enterprise Data Lakehouse for a diversified midstream energy organization. The position involves designing and implementing reliable data pipelines to integrate disparate sources, ensuring data quality, and optimizing the data lifecycle using DevOps principles. Key responsibilities include developing scalable data architectures, tuning platform performance, and collaborating with business leaders to deliver custom software solutions. The role appeals to candidates seeking a creative and supportive environment with dynamic career growth opportunities. The position requires five years of experience in data engineering, Python, SQL, and modern technologies like Apache Iceberg, AWS, and Kubernetes, and offers the chance to work on high-impact projects that drive operational insights.










