Azure Databricks Engineer

Job summary

Title: Data Bricks Data Engineer Location: Seattle, WA / Bellevue, WA / Everett, WA / Renton, WA / Richardson, TX / Plano, TX / Dallas, TX / St.

Qualifications

• Experience required: 8 – 15 Years
• Must Have Technical/Functional
• Collaborate with data consumers, thread authors/owners, and stakeholders to gather business
• prioritize needs, and translate analytical objectives into technical designs.
• Implement secure data access patterns using Azure Active Directory, Managed Identities, and service principals.
• Author Infrastructure-as-Code for Azure resources (ARM templates) and deploy consistent, repeatable environments.
• Configure and operate Azure components including Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, Azure Container Apps / container instances, and related services.
• Collaborate with networking and security teams to design and implement Azure networking for data solutions.
• Implement monitoring, alerting, and cost optimization for data workloads (Log Analytics, metrics, and dashboards).
• Use GitLab and Azure DevOps for source control, CI/CD pipelines, and release management.
• Follow Agile/Scrum practices and participate in sprint planning, standups, and retrospectives.
• Ensure solutions meet data governance, lineage, and compliance

Responsibilities

• Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using PySpark and Python.
• Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
• Implement, optimize, and monitor large-scale data processing workloads in Azure Databricks, including cluster configuration, autoscaling, and governance.
• Build and maintain data integration and orchestration solutions using Azure services to meet performance, availability, and security

Skills

Degrees

Work schedule

Industry

Contract length