Data Engineer

Vaco by Highspring; Nashville (TN); Hybrid; USD 66,000 - 94,000; Full time

Job summary

Vaco by Highspring is seeking a Data Engineer for a 12-month contract in Brentwood, TN (hybrid). You will design and build ETL/ELT pipelines, support data warehouse solutions, and govern data products to enable reporting, analytics, automation, and AI-driven use cases.

The role requires hands-on experience with ETL/ELT, TPT, SSIS, Python, PowerShell, cloud data services, and data governance practices. You will collaborate with business teams to deliver scalable data solutions and maintain data

Qualifications

• Must have hands-on experience building and supporting ETL/ELT processes and data pipelines.
• Hands-on experience with Teradata Protocol Transport (TPT).
• Hands-on experience with SSIS; strong SQL and data warehousing knowledge.
• Proficient in Python and PowerShell for data automation and workflows.
• Experience with cloud-based data services and data governance practices.

Responsibilities

• Build and maintain ETL/ELT processes and production data pipelines.
• Develop and support data warehouse solutions and curated datasets.
• Integrate data from multiple source systems.
• Prepare data for reporting, analytics, automation, applications, and AI-driven use cases.
• Perform data acquisition, cleansing, parsing, transformation, validation, and reconciliation.
• Support data governance activities including lineage and documentation.

Skills

ETL/ELT processes

Teradata Protocol Transport (TPT)

SSIS

Python

PowerShell

cloud-based data services

data warehousing concepts

data modeling

SQL

data governance

BigQuery

Teradata Vantage

Oracle

MS SQL Server

data analysis and data visualization

Tools

SSIS

Teradata Protocol Transport (TPT)

Python

PowerShell

Google BigQuery

Teradata Vantage

Oracle

Microsoft SQL Server

Job description

Vaco by Highspring is hiring a Data Engineer for a 12-month contract in Brentwood, TN (hybrid). This role focuses on building ETL/ELT pipelines, supporting data warehouse solutions, governing data products, and improving data quality to enable reporting, automation, analytics, and AI-driven use cases.

Responsibilities

• Build and maintain ETL/ELT processes and production data pipelines
• Develop and support data warehouse solutions and curated datasets
• Integrate data from multiple source systems
• Prepare data for reporting, analytics, automation, applications, and AI-driven use cases
• Perform data acquisition, cleansing, parsing, transformation, validation, and reconciliation
• Support data governance activities, including lineage, documentation, testing, and change management
• Create and maintain data models aligned with business and reporting needs
• Monitor and improve data quality across platforms and processes
• Collaborate with technical and business teams to gather requirements and deliver data solutions
• Create and maintain technical documentation and data standards

Requirements

• Experience building and supporting ETL/ELT processes and data pipelines
• Hands-on experience with Teradata Protocol Transport (TPT)
• Hands-on experience with SSIS
• Hands-on experience with Python
• Hands-on experience with PowerShell
• Hands-on experience with cloud-based data services
• Experience with data acquisition, cleansing, parsing, transformation, validation, and reconciliation
• Experience integrating data from multiple source systems
• Experience preparing data for reporting, analytics, automation, applications, and AI-related initiatives
• Strong understanding of data warehousing concepts, data structures, and data modeling
• Experience building curated datasets and governed data products
• Experience with one or more database platforms, including: Google BigQuery, Teradata Vantage, Oracle, Microsoft SQL Server, or other enterprise DBMS platforms
• Experience with data analysis and data visualization
• Strong understanding of data quality, governance, lineage, documentation, testing, and change management practices
• Strong SQL skills
• Ability to communicate technical concepts with both technical and non-technical audiences

Preferred Qualifications

• Experience with Google Cloud Platform (GCP)
• Experience with Python
• Experience with Microsoft SQL Server
• Experience with Teradata
• Experience with business intelligence and reporting platforms

Technologies

• Teradata Protocol Transport (TPT)
• SSIS
• Python
• PowerShell
• Cloud-based data services
• Google BigQuery
• Teradata Vantage
• Oracle
• Microsoft SQL Server
• SQL

Contract Details

Location: Nashville, TN (hybrid). Job type: Contract. Duration: 12-month contract. Compensation: USD 58 per hourly.