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# Data Integration Analyst

- **Company:** Computer Task Group, Inc
- **Location:** Beaverton, OR, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Information Systems, Information Engineering, Data Integration, Extract Transform Load (ETL), IBM InfoSphere DataStage, Python (Programming Language), Standard Sql, Robotic Automation Software, SQL Databases, Extensible Markup Language (XML), Informatica Powercenter, Ab Initio, Information Technology
- **Published:** July 16, 2026
- **Apply:** https://dejobs.org/x/x/9A44366C17014EFD93057D3C8653DB99/job/

## About the Role

* 5+ years of experience in data integration, ETL, or data engineering.
 * Strong SQL and Python skills.
 * Experience with Informatica, IBM DataStage, Ab Initio, or similar ETL platforms.
 * Knowledge of CSV/XML data formats and enterprise data integration.
 * Experience with 401(k) recordkeeping, FIS Omni, mutual funds, or CITs is highly preferred.

Education:

 * Bachelor's degree in Computer Science, Information Systems, Data Engineering, Information Technology, Business Analytics, Finance, or a related field.
 * Equivalent combination of education and relevant professional experience will also be considered.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

## Description

* Analyze and reconcile payroll, enrollment, and contribution data across multiple systems.
 * Design, map, transform, and integrate data using ETL processes and tools such as Informatica, DataStage, or Ab Initio.
 * Configure retirement plans, investment options, and contribution rules for onboarding.
 * Monitor automated interfaces, troubleshoot data issues, and perform QA/QC validation.
 * Utilize AI tools, Python, SQL, and RPA to automate processes and improve data quality.
 * Maintain integration documentation and ensure compliance with ERISA, IRS, and DOL regulations.
 * Collaborate with business partners and technical teams to resolve data integration challenges.


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