Databricks Engineer

Key Skills & Responsibilities

• 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 - Data Engineering

Compensation

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.

Benefits

• A full range of medical and dental benefits options
• Disability insurance
• Paid time off (inclusive of sick leave)
• Other paid and unpaid leave options

Equal Opportunity Employer

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.