Data Engineer: ETL Pipelines & Data Warehouse (Hybrid)

Vaco Recruiter Services

Brentwood (TN)

Hybrid

USD 48,000 - 80,000

Full time

14 days+

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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

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

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