Data Engineer
Listed on 2026-09-25
-
IT/Tech
Data Engineering, Data Warehousing, Data Analyst
Data Engineer
Location: Brentwood, TN (Hybrid)
Pay: Up to $58/hour W2
Schedule: Full-Time, Monday-Friday, 8:00 AM - 5:00 PM
Employment Type: Contract
About the OpportunityWe're seeking a Data Engineer to join a growing Data Management & Business Intelligence team focused on building scalable, governed data solutions that support enterprise-wide initiatives. This role will play a key part in transforming manual and spreadsheet-driven processes into automated, data-driven workflows that improve reporting, analytics, and decision-making. You will work within cross-functional product teams to design, develop, and maintain data pipelines, data warehouse solutions, and curated datasets that support business operations, reporting, automation, and AI-driven initiatives.
Key Responsibilities- Design, develop, and maintain ETL/ELT processes and enterprise data pipelines
- Build and support data warehouse solutions and governed data products
- Integrate data from multiple source systems for reporting, analytics, and automation
- Perform data acquisition, cleansing, transformation, validation, and reconciliation
- Develop data models, curated datasets, and scalable reporting structures
- Support data governance initiatives including lineage, testing, quality assurance, and documentation
- Collaborate with Product Owners, BI teams, Developers, Architects, and business stakeholders
- Prepare data for dashboards, reporting platforms, automation workflows, and AI-enabled applications
- Optimize database performance and troubleshoot data processing issues
- Strong experience with ETL/ELT development and data pipeline engineering
- Experience with enterprise database platforms such as:
- Google Big Query
- Teradata
- Oracle
- Microsoft SQL Server
- Experience with Python, Power Shell, SSIS, or similar data engineering tools
- Experience with data warehousing, data modeling, and data structures
- Strong understanding of data governance, data quality, validation, reconciliation, and lineage
- Experience integrating multiple source systems and building scalable data solutions
- Excellent analytical, troubleshooting, and communication skills
- Experience with Google Cloud Platform (GCP)
- Experience supporting Business Intelligence and reporting solutions
- Experience preparing data for automation, advanced analytics, or AI-driven initiatives
- Healthcare industry experience
By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).