> Markdown version of [/jobs/ext/2148579-sr-data-engineer](https://www.wearedevelopers.com/jobs/ext/2148579-sr-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Engineer - **Company:** VDart, Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $95,540.0 - $127,380.0 - **Contract:** Temporary to permanent - **Skills:** Adaptable Database Systems, Amazon Web Services, Data Analysis, Microsoft Azure, Backup Devices, Cloud Computing, Cloud Database, Databases, Computer Engineering, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Dataspaces, Data Systems, Data Visualization, Database Security, Database Storage Structures, DevOps, Disaster Recovery, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Node.Js, Performance Tuning, Power BI, Software Deployment, SQL Databases, Tableau (Software), Enterprise Data Management, Cloud Platform System, System Availability, Database Optimization, Software Application Programming, Database Performance, Electronic Medical Records, Indexer, Information Technology, Optimization Algorithms, Deployment Automation, Performance Monitor, Data Management, Data Pipelines, Databricks - **Published:** August 20, 2026 - **Apply:** https://www.careerjet.com/jobad/us034940727f7af4062dc6858aaa0cb4b9 ## About the Role * Bachelor's degree in Computer Science, Data Engineering, Computer Engineering, or a related technical field. * 5+ years of experience in Data Engineering or a related technical role. * Hands-on experience developing and supporting ETL/ELT processes. * Experience designing scalable data models and database architectures. * Strong Databricks administration and platform management experience. * Experience with Azure and AWS cloud platforms. * Strong SQL development and database optimization skills. * Experience with Microsoft SQL Server and PostgreSQL. * Experience developing applications or automation using Python. * Experience with Azure DevOps, CI/CD pipelines, and deployment automation. * Knowledge of database security, performance tuning, indexing, and optimization techniques. * Understanding of High Availability (HA) and Disaster Recovery (DR) concepts. * Strong communication and collaboration skills. Preferred Qualifications: * Experience working with healthcare data environments. * Experience supporting Electronic Health Record (EHR) platforms such as Epic. * Familiarity with Power BI, Tableau, or similar analytics and visualization tools. * Cloud, Databricks, Azure, or database certifications. ## Description We are seeking a Senior Data Engineer to help design, build, and support enterprise data platforms that power critical business and operational initiatives. This role combines hands-on data engineering, cloud platform administration, database management, and DevOps practices to deliver scalable, secure, and high-performing data solutions. The ideal candidate will have experience with Databricks, Azure and AWS cloud environments, modern ETL processes, and healthcare data ecosystems., * Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes. * Build and support enterprise data models, database structures, and cloud-based data solutions. * Administer and optimize Databricks environments, including deployment, configuration, monitoring, and performance tuning. * Support data platforms hosted in Azure and AWS cloud environments. * Develop and maintain solutions using Python and Node.js. * Configure, monitor, and maintain SQL Server and PostgreSQL database environments. * Implement and support CI/CD pipelines and automated deployment processes using Azure DevOps. * Collaborate with business stakeholders, application teams, and data consumers to gather requirements and deliver scalable solutions. * Troubleshoot and resolve data, database, and platform-related issues. * Ensure database security, performance, availability, and reliability through proactive monitoring and maintenance. * Optimize SQL queries, indexes, and database performance. * Support high availability, disaster recovery, backup, and recovery strategies. * Participate in production deployments, maintenance activities, and platform upgrades as needed. * Promote data governance, security, and best practices across the data ecosystem. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Stop using Node.js like in 2020! 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