Etenico Technologies
Website:
etenico.com
Job details:
Job Title: Data QA Engineer – Healthcare RCM
Experience: 4–6 Years
Location: Hyderabad
Role Summary:
We are seeking a detail-oriented Data QA Engineer with strong expertise in Healthcare Revenue Cycle Management (RCM) to ensure the accuracy, integrity, and reliability of data across our analytics and reporting platforms. The ideal candidate will have hands-on experience with transaction-level healthcare data and a strong foundation in data validation, SQL, and root cause analysis.
- Perform data quality validation across RCM datasets (Charges, Payments, Adjustments, Denials, A/R)
- Conduct transaction-level reconciliation between PMS/EHR and downstream systems
- Identify and resolve data discrepancies, missing data, and inconsistencies
- Develop and execute SQL queries for validation and root cause analysis
- Validate data transformations, mappings, and business rules
- Perform trend analysis and anomaly detection on key RCM metrics (Denial %, AR Days, Collections)
- Collaborate with cross-functional teams to define validation rules and acceptance criteria
- Maintain data quality dashboards, logs, and audit trails
- Support client onboarding and data validation cycles
- Document data issues, RCA, and remediation steps
- Build reusable SQL-based validation scripts and frameworks for scalable DQA
Required Skills & Experience
- 4–6 years of experience in Data QA / Data Validation, preferably in the Healthcare RCM domain
- Strong understanding of RCM workflows: Billing, Coding, Payments, Denials, and Accounts Receivable
- Hands-on expertise in SQL (joins, aggregations, validation queries, performance tuning)
- Experience working with large-scale, transaction-level healthcare datasets
- Strong analytical thinking and problem-solving skills with high attention to detail
- Experience with ETL testing, data validation frameworks, or data QA processes
- Ability to interpret business metrics and translate them into data validation logic
Preferred Qualifications
- Experience with data warehousing / data lake environments (AWS, Azure, or equivalent)
- Familiarity with tools like Athena, Redshift, Snowflake, or similar
- Exposure to data quality tools, automation frameworks, or scripting (Python is a plus)
- Understanding of HIPAA compliance and healthcare data security standards
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