Databricks Lead

Role : Databricks Engineer LeadLocation : Minneapolis, MNDuration : Long-term Contract Job Responsibilities : Lead the design and development of scalable data engineering solutions using Databricks.Develop and optimize PySpark, Spark SQL, and Delta Lake pipelines.Build and manage ETL/ELT workflows and data lakehouse architecture.Work with Azure/AWS, Databricks Workflows, Unity Catalog, and cloud storage.Optimize performance, data quality, and cost of Databricks workloads.Mentor engineers and pr

Title: Senior / Lead Data EngineerLocation: Eagan, MN (Hybrid 2 days/week onsite)Duration: 36 Months Contract-to-HireStart Date: ASAP Job SummaryWe are seeking a Senior/Lead Data Engineer to modernize and own enterprise data pipelines by migrating legacy SAS-based workflows to Python/PySpark on Databricks. The engineer will partner with SMEs during the transition period and eventually take ownership of a critical healthcare analytics pipeline supporting HEDIS reporting. Key ResponsibilitiesMigr

Data Analytics Technical Lead with extensive hands-on experience in Databricks, including advanced data engineering, lakehouse architecture, and performance optimization, supported by relevant Databricks certifications. Proven expertise leading enterprise-scale analytics initiatives across modern cloud and big data platforms. Well-rounded background spanning the full analytics ecosystem, including: AI/ML solutions and predictive analytics Data warehousing and ETL/ELT modernization Business intel

Role: Databricks Data Engineer Location: Remote Duration: 12+ Months Must be Databricks certified. Job Summary The Databricks Data Engineer owns the end-to-end migration strategy, target architecture design, and technical execution of moving legacy ETL workloads to the Databricks Lakehouse. He will establish migration standards, optimize PySpark pipelines, orchestrate complex data workflows, and deploy proprietary automation tools to ensure a seamless, high-performing transition from legacy sys