Python Developer - Databricks and Azure

Salary: $60,000 - 65,000 per year Requirements: 7–10 years of overall experience in software and data engineering. At least 7 years of hands-on experience with Python, ETL development, data handling, and SQL. Advanced proficiency in Python, Scala, and/or SQL for data processing and application development. At least 5 years of production experience with Spark and Databricks. Strong experience designing and implementing complex ETL/ELT pipelines for large-scale datasets. Solid knowledge of Azure Cloud services, including Azure ML and relevant data and application services. Experience implementing data governance, security, and compliance measures, including access controls, encryption, and data lineage tools such as Unity Catalog. Proven ability to design and develop CI/CD pipelines for deploying code across development and production environments; Azure DevOps, GitHub Actions, or similar tools are preferred. At least 5 years of experience with logging, monitoring, and alerting for production workloads. Strong understanding of the full software development life cycle, from requirements and design through deployment and support. Experience using AI tools to improve productivity, code quality, or data workflows. Excellent communication skills, including the ability to explain technical concepts to technical and non-technical audiences. Ability to contribute to agile, pod-based teams, including cross-team coordination and planning. Able to work onsite Tuesday through Thursday and remotely on Mondays and Fridays. Willingness to participate in a multi-round interview process, including virtual and onsite interviews and a coding assignment. Java and Spring application development experience is a plus. Broad knowledge of Azure services and their integration into data and application architectures is a plus. Responsibilities: Contribute to end-to-end architecture, design, and implementation of scalable data and application solutions using Python and Azure ML. Build complex ETL/ELT pipelines to process, transform, and integrate large datasets from diverse sources using Spark and Python. Improve Python and Spark job performance and cost efficiency through partitioning, caching, cluster tuning, and bottleneck analysis. Partner with data scientists, analysts, and business stakeholders to turn business challenges into robust, maintainable technical solutions. Implement and uphold data governance and security measures, including access controls, encryption, data lineage, and frameworks such as Unity Catalog. Promote engineering standards and code quality across pods through reviews, testing, and documentation. Create and maintain DevOps CI/CD pipelines to automate the build, testing, deployment, and management of data assets and infrastructure. Establish monitoring, logging, and alerting for production pipelines to identify, troubleshoot, and resolve issues proactively. Support multiple agile pods with project planning, sprint execution, and deliverable tracking. Encourage consistent agile practices across pods, including ceremonies, backlog management, and delivery tracking. Use AI tools and automation to enhance productivity, code quality, and operational efficiency. Take part in technical interviews, including coding assessments, and help evaluate candidates as needed. Attend required onsite meetings and interviews while working in the hybrid environment. Technologies: AI Azure CI/CD Cloud Databricks DevOps ETL GitHub Support Java Python SQL Scala Security Spark Spring Unity GameDev Jenkins More: We are hiring a Senior Azure Databricks Data Engineer for a contract position in Fort Worth, Texas (Job ID 180344). This hands-on, senior-level role works across multiple agile pods with data scientists, analysts, and business stakeholders to deliver reliable, production-ready data and application solutions. The schedule is hybrid, with onsite work Tuesday through Thursday and remote work Mondays and Fridays. PTR Global provides information technology and workforce solutions, with more than 5,000 professionals serving clients across the U.S. and Canada. The pay range is $60–$65 per hour. Our full-time consultants have access to medical, dental, and vision coverage, 401(k) contributions, paid time off, sick leave, and other benefits required by applicable state or local law. We may use AI tools to assist with reviewing application-related information; qualified hiring personnel make final employment decisions. last updated 41 week of 2026