Data Bricks Data engineer

Job ID: 90777-1
Job Title: Data Bricks Data engineer
Location: Seattle WA
Duration: 6 months (can extend)
Rate Range: $50 - $55/hour on W2 (All inclusive)

Job Summary:
We are seeking a Senior Databricks Data Engineer with strong experience in enterprise-scale data migration, development, production deployment, and support. The ideal candidate will have extensive hands-on expertise in Azure Databricks, PySpark, Python, SQL, and Azure cloud services, along with experience managing end-to-end data engineering solutions in production environments.

Key Responsibilities:
• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Python, PySpark, and SQL.
• Lead and support large-scale data migration and modernization initiatives.
• Build, optimize, and maintain Azure Databricks workloads, including cluster configuration, autoscaling, governance, and performance tuning.
• Deploy and support production data solutions, ensuring stability, reliability, and operational excellence.
• Troubleshoot and resolve production issues and participate in on-call support rotations.
• Collaborate with business stakeholders, application teams, and data consumers to gather requirements and translate them into technical solutions.
• Develop and maintain Infrastructure-as-Code using ARM Templates.
• Implement CI/CD pipelines using Azure DevOps and GitLab.
• Configure and manage Azure services including Storage Accounts, Synapse Analytics, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, Azure Container Apps, and Container Instances.
• Implement secure access controls using Azure Active Directory, Managed Identities, and Service Principals.
• Partner with networking and security teams to ensure secure and compliant cloud environments.
• Monitor system performance, implement alerting, and optimize cloud resource utilization and costs.
• Ensure compliance with data governance, security, and lineage requirements.
• Participate in Agile ceremonies including sprint planning, standups, reviews, and retrospectives.

Required Qualifications:
• 8+ years of experience in Data Engineering and Data Platform development.
• Strong hands-on experience with Python, PySpark, and advanced SQL.
• Extensive experience with Azure Databricks in enterprise environments.
• Proven experience delivering large-scale migration projects.
• Experience with production deployments and post-production support.
• Strong knowledge of Azure cloud services including:

• Azure Storage Accounts
• Azure Synapse Analytics
• Azure Key Vault
• VM Scale Sets (VMSS)
• Function Apps
• Web Apps
• Log Analytics Workspace
• Managed Identities and Service Principals
  • Experience with ARM Templates and Infrastructure-as-Code.
  • Hands-on experience with GitLab and Azure DevOps.
  • Familiarity with Azure networking and security concepts.
  • Experience supporting production environments and handling critical incidents.
  • Strong communication and stakeholder management skills.

Preferred Qualifications:
• Experience working on cloud modernization initiatives.
• Experience with Azure Container Apps and Container Instances.
• Knowledge of data governance and compliance frameworks.
• Experience collaborating with both legacy and modern application teams.
• Prior experience in large enterprise environments.

Work Breakdown:
• 60% Development
• 20% Business & Stakeholder Collaboration
• 20% Production Support and Operations

Company Benefits & Culture

• Competitive salary and benefits package
• Supportive and collaborative work environment
• Opportunities for professional growth and development

For immediate consideration please click APPLY to begin the screening process with Alex.