Full Job Description
Job Title: DataBricks Data Engineer
City: Minneapolis
State/Province: Minnesota
Posting Start Date: 10/30/26
Job Description
Role: DataBricks Data Engineer
Location: Minneapolis, MN (3 Days onsite/week)
Job Summary:
The Azure Databricks Engineer will design and deliver scalable Lakehouse solutions on Azure using Databricks, Delta Lake, PySpark, Spark SQL, ADLS Gen2, ADF, Synapse, and modern data governance practices.
Key Skills & Responsibilities
The candidate should have strong hands-on experience in cloud data architecture, Databricks platform design, performance optimization, migration, data modeling, streaming, and security.
Design Databricks Lakehouse architecture using Delta Lake and Bronze/Silver/Gold Medallion layers.
Build pipelines using Databricks Workflows, Delta Live Tables, Auto Loader, Azure Data Factory, and Databricks SQL.
Work with Azure Data Lake Storage Gen2, Synapse, PySpark, Spark SQL, and SQL for enterprise data solutions.
Optimize Spark workloads through partitioning, cluster sizing, data skew handling, broadcast joins, and Photon acceleration.
Lead migration from SAS, Hadoop, Teradata, Oracle, SQL Server, Synapse, and legacy ETL platforms.
Define data modeling, domain architecture, batch/streaming, event-driven processing, governance, security, lineage, and access controls.
Mandatory Skills: Databricks.
Experience: 5-8 Years.
The expected compensation for this role ranges from $60,000 to $135,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
