Senior QA Analyst — ETL Testing for Medicaid

Cspring; Springfield (IL); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Collaborative work environment

Growth opportunities

Work with purpose-driven clients

Job summary

CSpring, located in Springfield, Illinois, is seeking an experienced Quality Assurance professional to ensure data quality in ETL pipelines within the Medicaid environment. The role demands over 5 years of experience in software testing, strong SQL skills, and familiarity with databases. Ideal candidates will work collaboratively in Agile teams while assessing data integrity and developing automated tests. Join us to make a meaningful impact in the healthcare sector where your work helps improve lives through quality data.

Qualifications

• 5+ years of experience in software testing and quality assurance.
• 4+ years of strong SQL experience with at least one RDBMS.
• Direct experience in a Medicaid, healthcare, or government data environment.

Responsibilities

• Own the quality of data as it moves through ETL pipelines.
• Review Change Requests and participate in requirement analysis.
• Perform backend testing to compare data in source systems to target Medicaid EDW.

Skills

Software testing and quality assurance

SQL

ETL processes

Agile methodologies

Automation with Python

Collaboration

Education

Bachelor's degree in Computer Science, Information Technology, Data Analytics, Mathematics, or related field

Tools

Informatica PowerCenter

JIRA

Azure DevOps

HP ALM

Job description

CSpring, located in Springfield, Illinois, is seeking an experienced Quality Assurance professional to ensure data quality in ETL pipelines within the Medicaid environment. The role demands over 5 years of experience in software testing, strong SQL skills, and familiarity with databases. Ideal candidates will work collaboratively in Agile teams while assessing data integrity and developing automated tests. Join us to make a meaningful impact in the healthcare sector where your work helps improve lives through quality data.