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Data Bricks Data Engineer

Job

Modern Agile Technologies, LLC

Dallas, TX (In Person)

Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 7/21/2026

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Job Description

Hiring!!! Greetings from Modern Agile Technologies.

Position:

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

Duration:

Full Time Experience required: 8 - 15 Years 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.