Senior Data Engineer

Senior Data Engineer

Reports To: Chief Information Officer

Our client, a non-profit in the Healthcare space, is looking to hire a Sr. Data Engineer to be the CIOs lynchpin data person. The role is 60% remote and the office is located near the Turtle Creek area of Dallas (75204) in a beautiful brand new office space with amazing benefits and unmatched work/life balance provided. The ideal candidate is AI curious and has played with LLM's personally or professionally (Kaggle experience works, too). In this role, you will help train LLM's with data from the company.

The Senior Data Engineer will oversee the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. This role will work closely and collaboratively with members of the Scrum team and CIO to define requirements, mine and analyze data, integrate data from a variety of sources, and deploy high quality data pipelines in support of the Organization. They will also create and oversee an automated reporting system and manage other proprietary systems.

Essential Duties and Responsibilities:

• Maintain and build on our data warehouse and analytics environment
• Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates
• Build reports and data visualizations, using data from the data warehouse and other sources
• Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks
• Perform ad hoc data integration and management, and analysis on a wide variety of data sources and projects
• Implement and monitor best in practice security measures in our OLTP and OLAP databases
• Help other IT staff troubleshoot and tune their SQL, Python, or R code
• Mentor other members of the data team

Skills and Qualifications:

• Demonstrable Proficiency: Candidates will be required to demonstrate proficiency in essential skills during the interview process.
• BS or BA in CS, CIS, MIS or related discipline.
• 7 years experience in relational databases and SQL. Extract, Transform, and Load (ETL) data into a relational database.
• 7 years experience in data transformation and manipulation.
• 7 years experience in delivering reports.
• Proficiency with Python or R preferred but not required.
• Use APIs or SSIS to push and pull data from various data systems and platforms.
• Experience with AI including but not limited to LLM, SLM, ML.
• Experience working with cloud infrastructure services like Amazon Web Services and Microsoft Azure preferred.
• Experience with advanced data visualization and mapping are helpful, but not required.
• Experience is a SAAS or deployed software environment preferred but not required