Data Bricks Data Engineer
Role summary
Seeking a Data Bricks Data Engineer to design, develop, and maintain complex data pipelines and ETL/ELT workflows using Python, PySpark, and SQL on Azure. The role involves hands-on experience with Azure Databricks for cluster management and job scheduling, along with core Azure services like Storage Account, Synapse, and Key Vault. Responsibilities include implementing Infrastructure-as-Code using ARM templates, managing CI/CD pipelines with GitLab/Azure DevOps, and ensuring data governance and security. This hybrid role requires strong analytical and problem-solving skills to collaborate with stakeholders and support production environments.
Title: Data Bricks Data Engineer
Location: Seattle, WA / Dallas, TX / St. Louis, MO
Job Description
Must Have Technical/Functional Skills
• 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.
Responsibilities
• Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using PySpark and Python.
• 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 complia nce requirements.
• Operations Support and Oncall Support for Production Issues and Deployments.
