We are looking for a Data Engineer to join a long-term contract opportunity. This role is suited for someone who can build and optimize modern data pipelines while partnering across technical teams to keep delivery on schedule and data platforms running reliably. The ideal candidate brings strong hands-on experience with large-scale data processing, integration frameworks, and disciplined execution in fast-moving environments. <br> Responsibilities: • Design, build, and enhance scalable data pipelines that support reliable ingestion, transformation, and delivery of critical business data. • Develop and maintain ETL workflows using Python and distributed data technologies to improve performance, accuracy, and maintainability. • Collaborate with engineering, security, IT, and external stakeholders to coordinate dependencies, resolve blockers, and keep initiatives progressing smoothly. • Monitor project milestones, surface risks early, and help drive timely execution through clear status updates and strong follow-through. • Implement data processing solutions using tools such as Apache Spark, Hadoop, and Kafka to support high-volume and real-time data needs. • Partner with cross-functional teams to validate testing readiness, support controlled releases, and promote successful adoption of new data capabilities. • Contribute to data governance and lifecycle practices by helping ensure quality standards, consistency, and operational reliability across platforms.