Data Engineer

Vaco Recruiter Services; Brentwood (TN); Hybrid; USD 48,000 - 80,000; Full time

Job summary

Vaco Recruiter Services is seeking a Data Engineer in Brentwood, TN. This hybrid, full-time-contract role focuses on building scalable data pipelines, data warehouses, and curated datasets that support reporting, automation, and AI-driven initiatives.

You will transform manual processes into automated workflows and collaborate with cross-functional teams to enable enterprise-wide data-driven decisions. The ideal candidate will have strong ETL/ELT experience, proficiency with major databases

Qualifications

• Experience with ETL/ELT development and data pipeline engineering.

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

Skills

ETL/ELT pipelines

Data governance

Data modeling

Analytical skills

Communication

Tools

Google BigQuery

Teradata

Oracle

Microsoft SQL Server

Python

PowerShell

SSIS

Google Cloud Platform (GCP)

Job description

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 Opportunity

We'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

Required Qualifications

• Strong experience with ETL/ELT development and data pipeline engineering


• Experience with enterprise database platforms such as:
  
  
  
  • Google BigQuery
  
  
  • Teradata
  
  
  • Oracle
  
  
  • Microsoft SQL Server
  
  
  
  


• Experience with Python, PowerShell, 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

Preferred Qualifications

• 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.