Azure Database Engineer

Azure Data Engineer 3-12 month contract HYBRID IN GOLDEN VALLEY, MN Role Overview We are looking for an experienced Azure Data Engineer to join our team on a contract basis. The ideal candidate will have strong expertise in Azure Synapse Analytics, experience working in a DevOps environment, and preferably familiarity with Databricks. This role focuses on building and optimizing data pipelines and analytics solutions to support business intelligence and advanced analytics initiatives. Key Responsibilities Technical • Proven ability to design, build, and maintain complex, scalable, efficient, and reliable data pipelines in Azure • Implement PySpark transformations for large-scale data processing with Spark pools in Azure Synapse or Databricks • Automate data ingestion, enrichment, and reconciliation processes with parametrized, reusable and auditable components • Solid understanding of relational databases (Azure SQL), and NoSQL databases (Cosmos DB) • Hands-on experience in DevOps environments with CI/CD pipelines • Ensure data quality, security, and compliance • Familiarity with Databricks • Ability to work in a hybrid team environment Collaboration and Domain Partnership • Collaborate with Platform Engineers and Enterprise Architects to align design patterns and standards across enterprise data ecosystem • Partner with data governance team and adhere to data governance policies and standards to ensure data integrity and compliance • Collaborate with analytics teams to understand company needs and ensure our data platform can enable use cases across the business Process and Documentation • Maintain comprehensive documentation for all pipelines, data models, and operational procedures • Prepare data flow diagrams, lineage maps, and control logs for audit reviews Required Qualifications • 3+ years of experience in data engineering with Azure cloud technologies. • Strong proficiency in Azure Synapse Analytics and related services. • Hands-on experience in DevOps environments with CI/CD pipelines. • Solid understanding of data, SQL, and performance tuning. • Familiarity with Databricks and Spark (preferred). • Ability to work in a hybrid team environment.