Data Bricks Data Engineer

Role: “Data Bricks Data Engineer”

Location: Seattle, WA / Bellevue, WA / Everett, WA / Renton, WA / Richardson, TX / Plano, TX / Dallas, TX / St. Louis, MO / Charleston, SC / Arlington, VA (Onsite from Day 1)

Position: Fulltime

Job Description:

Must Have Technical/Functional Skills

•              Awareness of IBM Data Stage ETL/ELT data integration tool to understand existing code.

•              Develop , Test , Deploy ,Optimize, and monitor large-scale data processing workloads in Azure  Data Bricks ETL.

•              Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated

•              Strong programming skills in Python and PySpark.

•              Advanced proficiency writing SQL for analytics and ETL processes.

•              Proven experience building and optimizing complex data pipelines in Azure.

•              Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance.

•              Strong working knowledge of core Azure services: Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, service principals, and managed identities.

•              Experience with container services (ACA, container instances) and containerized data workloads.

•              Familiarity with Azure networking concepts and secure network integration for data platforms.

•              Experience creating Azure infrastructure using ARM templates.

•              Proficient with GitLab and Azure DevOps for CI/CD and source control workflows.

•              Strong analytical, problem-solving, and communication skills; proven ability to work cross-functionally.

•              Experience working in Agile teams and understanding of data governance frameworks.

•              Hands-on experience provisioning Databricks resources with Terraform; ability to author and maintain Terraform templates and modules.

•              Demonstrated experience implementing cluster autoscaling and autoscaling policies through Terraform.

•              Experience creating reusable Terraform modules and implementing infrastructure-as-code best practices (module structure, state management, remote backends).

•              Proven experience working on Databricks platform operations, including cluster configuration, job orchestration, and platform optimization.

•              Experience configuring high-availability Databricks deployments and operating across multiple availability zones/regions.

•              Familiarity with Metastore/Unity Catalog configuration and metadata governance in Databricks.

•              Hands-on experience building data pipelines and ingestion workflows into medallion-layer architectures (bronze/silver/gold).

•              Strong scripting skills (Python, Bash, or similar) and familiarity with CI/CD for Terraform and Databricks deployments.

•              Strong troubleshooting, performance tuning, and cost optimization skills.

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 requirements.

•              Collaborate with data consumers, thread authors/owners, and stakeholders to gather business requirements, 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 requirements.

•              Operations Support and Oncall Support for Production Issues and Deployments.