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# Senior Azure Databricks Data Engineer

- **Company:** Vsg Business Solutions
- **Location:** Fort Worth, TX, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Agile Methodology, Microsoft Azure, Big Data, Software Quality, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, DevOps, Github, Python (Programming Language), Systems Development Life Cycle, Standard Sql, Azure Machine Learning, Software Engineering, Software Organization, Data Logging, Apache Spark, Data Lineage, Data Pipelines, Jenkins, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.careerjet.com/jobad/us807d5cdf0f5aa40d197808019b41de69

## About the Role

Looking for a strong Senior Data Engineer with deep experience in Python, Databricks, Spark, Azure Cloud, Azure ML, ETL/ELT, and application development. The candidate should be comfortable working across multiple Agile pods and helping with project planning, delivery, and technical execution. Must-Have Skills

 * 7+ years of experience in Python, ETL, Data Engineering, and SQL
 * 5+ years of experience with Apache Spark and Databricks
 * Strong Python development and application development experience
 * Strong experience with Azure Cloud
 * Experience with Azure ML
 * Advanced knowledge of Python, Scala and/or SQL
 * Strong ETL/ELT development and large-scale data processing
 * Experience with Databricks Unity Catalog, data governance, security, access controls, encryption, and data lineage
 * Strong CI/CD and DevOps experience
 * Experience with Azure DevOps, GitHub Actions, or Jenkins
 * 5+ years of experience with Logging, Monitoring, and Alerting
 * Strong understanding of SDLC
 * Excellent communication and stakeholder-management skills

## Description

* Design and implement scalable data and application architectures using Python and Azure ML.
 * Develop complex ETL/ELT pipelines using Python, Spark, and Databricks.
 * Process and transform large-scale datasets from multiple sources.
 * Optimize Python/Spark jobs for performance and cost efficiency.
 * Perform partitioning, caching, cluster tuning, and bottleneck troubleshooting.
 * Work with data scientists, analysts, and business stakeholders to convert business requirements into technical solutions.
 * Implement data security, governance, compliance, and access controls.
 * Develop and maintain CI/CD pipelines for deployment across development and production environments.
 * Build production-grade monitoring, logging, and alerting solutions.
 * Maintain code quality and follow software development best practices.
 * Support project planning and delivery across multiple Agile pods.

Nice-to-Have

 * Java / Spring
 * Strong knowledge of various Azure services
 * Experience using AI tools to improve developer productivity.

Submission format please complete in full:
First Middle Last Name
Bill rate:
OR W2 Pay Rate:
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Vacations:
LinkedIn Profile:
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If on a visa, attach copy.
Proof of ID - please attach
Previous Client Experience (need manager name, group/LOB, if they were FTE or contractor, and dates)