Staff Data Engineer

Kforce has a client in Salt Lake City, UT, that is seeking a Staff Data Engineer.

Summary: Our partners Enterprise Technology & Operations team is driving a major modernization effort and seeking a highly experienced Staff Data Engineer to lead the end-to-end migration of on-premise data warehouse systems to modern cloud data platforms AWS, GCP, or Azure. This role is highly technical, hands-on, and central to shaping the future state of our partners data ecosystem.

Key Responsibilities:

• Lead technical strategy, architectural design, and roadmap development for cloud-based data platforms. • Design, build, and optimize scalable data pipelines, workflows, and ELT/ETL processes. • Databricks Workflows, Kafka, modern ELT tooling. • Develop distributed production-grade solutions using Python, PySpark, and advanced performance-tuning techniques, including partitioning, caching, parallelism, and efficient data formats. • Architect and manage cloud-optimized data infrastructure using Databricks on GCP, including cost-efficient Spark workload strategies, right-sizing, autoscaling, serverless job compute cluster pools, spot-preemptible workers. • Build and manage CICD pipelines supporting automated testing and deployments. • Design distributed data platforms, data lakes, data warehouses with strong OLTP/OLAP modeling principles for both real-time and analytical workloads. • Ensure secure data movement and integration between cloud and on-prem environments. • Drive data governance, compliance, and security best practices. • Mentor engineers, lead technical discussions, and coordinate cross-functional efforts. • Produce clear technical documentation and contribute to engineering community initiatives.