Azure Databricks Engineer (ETL & Orchestration) || Onsite- Seattle, WA || Relocation; OK

DMS Vision • Seattle, TX

9h • Onsite

About The Position

Design, schedule, and orchestrate tasks on Azure Databricks within ETL pipelines. Handle incident resolution, application maintenance, health checks, and optimization of high-traffic services. Automate operations, troubleshoot workflows, and collaborate with IT, business owners, and customers in an Agile environment that includes stand-ups, demos, grooming, and solutioning. The role is onsite in Seattle, Washington, and relocation is acceptable.

Requirements

• Strong Azure Databricks expertise for ETL development and big data pipelines.
• Proficiency in Azure Data Lake Storage (ADLS) and cloud integrations.
• Hands-on experience with Apache NiFi for data ingestion, transformation, and routing.
• Solid grasp of cloud data engineering and storage systems.
• Strong problem-solving skills for ETL troubleshooting and optimization.

Nice To Haves

• Experience with Azure Synapse, Azure Data Factory (ADF), or Azure Functions.
• Experience with streaming or real-time data integration.
• Cross-functional collaboration and clear communication.
• Microsoft Azure, Databricks, and PySpark skills.

Responsibilities

• Build and manage big data ETL pipelines on Databricks.
• Integrate and optimize data flows with Azure Data Lake Storage (ADLS).
• Use Apache NiFi for data ingestion, transformation, and routing.
• Perform troubleshooting, code optimization, and routine automation.
• Support load-balanced services and collaborate cross-functionally.
• Resolve incidents and handle application maintenance and health checks.
• Design, schedule, and orchestrate tasks on Azure Databricks within ETL pipelines.

What This Job Offers

• Education Level: No Education Listed