Data Engineer: Legacy Modernization & Pipelines (Contract)

eTeam; Cuyahoga Falls (OH); On-site; USD 96,000 - 138,000; Full time

Job summary

eTeam is seeking an IT Data and Analytics Contractor in Cuyahoga Falls, OH, for a 12‑month engagement with potential extension. You will analyze legacy data flows, design and build new data pipelines using SQL Server and ETL tools, and migrate data to modern structures.

The role requires strong SQL skills, experience with SQL Server environments, ETL tools (SSIS, DTS, Informatica), and the ability to document data processes and work independently in ambiguous environments.

Qualifications

• Bachelor's degree or equivalent in a relevant field.
• 7+ years in data engineering, data integration, or related roles.
• Advanced SQL with complex queries, performance tuning, large-scale transforms.
• Experience with SQL Server environments, including design, optimization, and admin concepts.
• Hands-on ETL experience with SSIS, DTS, Informatica, or similar tools.
• Experience modernizing legacy data environments and reverse‑engineering data flows.
• Ability to document undocumented data flows and work independently in ambiguous environments.

Responsibilities

• Analyze and reverse-engineer existing legacy data flows.
• Design and build new data pipelines using SQL Server and ETL tools.
• Migrate and transform data from legacy systems into modern structures.
• Validate data accuracy and maintain integrity during migration.
• Collaborate with business and technical teams to understand data usage and dependencies.

Skills

SQL proficiency

Data validation

Independent work

Documentation

Education

Bachelor's degree or equivalent in CS/IS/Engineering

Tools

SSIS

DTS

Informatica

SQL Server

Job description

eTeam is seeking an IT Data and Analytics Contractor in Cuyahoga Falls, OH, for a 12‑month engagement with potential extension. You will analyze legacy data flows, design and build new data pipelines using SQL Server and ETL tools, and migrate data to modern structures.

The role requires strong SQL skills, experience with SQL Server environments, ETL tools (SSIS, DTS, Informatica), and the ability to document data processes and work independently in ambiguous environments.