Sr. Data Engineer

Title: Sr. Data Engineer


Duration: 6 Month CTH


Location: Dallas, 75247 - 2 Days On-Site Per Month Min (More as needed)


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.


Key Responsibilities:

• 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.

Required Qualifications:

• 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.