Data QA Engineer

As a Data Quality Engineer at Abacus Insights, you will ensure the accuracy, reliability, and compliance of healthcare data powering our cloud‑native data management platform. This role requires specialized knowledge in data engineering, data quality frameworks, and healthcare data domains. You will design automated testing procedures, build data validation solutions, and collaborate with engineering and product teams to maintain high‑trust, high‑quality datasets for health plan clients. Your work directly supports regulatory and operational integrity across Abacus’s data ecosystem.

• Design, develop, and maintain automated data quality validation frameworks, including rules engines, anomaly detection, and monitoring for completeness, conformity, integrity, and timeliness
• Build and maintain automated test procedures for healthcare data ingestion, transformation, and downstream applications
• Investigate data quality defects, analyze root causes, and drive remediation recommendations
• Review and refine data quality strategies and contribute to standardized quality processes across pipelines
• Collaborate with Engineering, Project Management, Operations, and Connector Engineering teams to translate business and compliance rules into technical test plans, functional specifications, and validation logic
• Review software and data defect reports, highlight problem areas, and document reproducible issues
• Develop and maintain QA automation scripts and dashboards using SQL, Python, Java, and cloud‑native tools
• Participate in system verification protocol design and cross‑functional design meetings
• Conduct data mining and profiling on client‑specific and healthcare datasets to identify quality risks and gaps
• Produce documentation including test plans, validation criteria, rule catalogs, and QA runbooks
• Support ongoing monitoring of data quality and respond to internal and external data inquiries
• Ensure data security and quality processes align with PHI handling, HIPAA, SOC 2, and Abacus governance requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, or related technical field
• 5+ years of experience in Data Quality, Data Engineering, or QA roles in healthcare technology or payer/provider environments
• Strong SQL expertise, including data manipulation, data validation, and profiling at scale
• Experience working with healthcare data types such as enrollment, medical claims, pharmacy claims, provider data, or non‑traditional health and wellness datasets
• Hands‑on experience with automation scripting in Python or Java
• Experience with cloud computing environments such as AWS (S3, EC2, SSM, Athena) and Databricks
• Experience with data integration workflows, ETL/ELT pipelines, data mapping, and QA testing protocols
• Experience building automated QA applications, dashboards, or custom rule frameworks
• Ability to analyze complex datasets, identify quality issues, and generate actionable insights
• Excellent communication skills with the ability to work cross‑functionally and independently
• Strong organizational skills to manage multiple priorities and deadlines

• Exposure to Delta Lake, Spark, Airflow, dbt, or event‑driven architectures
• Knowledge of schema evolution management (Parquet, Avro, ORC, JSON)
• Experience with advanced data quality lifecycle management in large‑scale cloud systems
• Familiarity with Terraform, DevOps pipelines, CI/CD workflows, Git‑based version control
• Background in software debugging, system testing methodologies, or performance testing

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST