Software Engineer II - Data QA

About Us

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.

We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions —so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike.

Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data that can support automation, prioritization, and decision workflows—and it’s why we are leading the way.

Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future together.

About the Role:

Our TechOps team is looking to bring on an experienced Data QA Engineer. If you are interested in being a guiding voice on a critical feature delivery team, this position is for you. The team is responsible for implementing and configuring the data pipelines that ingest and do the ETL and process diverse sources of data. This includes building large batch processing and streaming systems. You will be exposed to every area of our platform and AWS services (Serverless – Lambda, EMR – Hadoop/Spark, EKS – Kubernetes, etc.) but even more so, help drive the evolution of the product and team as we continue to grow rapidly. We believe heavily in architecture evolution, and you will bring your experience to best practices as we build out new components of the platform.

Your day to day:

Review mapping specifications to identify business requirement gaps and estimated QA efforts.

Design ETL test scenarios and test cases, validated input file layouts and parsers.

Write source-to-target SQL queries for data validation and user acceptance criteria

Automate data validation using PySpark and Databricks

Execute testing using synthetic data resembling real time production scenarios

Support UAT, worked in Agile methodology, tracked QA activities in Jira/test management tools, and coordinated onsite–offshore teams

What We're Looking For:

Bachelor’s degree in computer science, Engineering, Information Technology, or related field, with 2+ years of hands on experience in Data QA or Data Engineering QA

Proficiency in SQL, including complex queries, joins, aggregations, performance optimization, and data validation

Working knowledge of Python for data analysis, synthetic data creation, and automation of QA processes

Proven ability to analyze large datasets, identify inconsistencies, and validate business logic

Solid understanding of QA methodologies with experience designing test cases for data centric systems

Experience with PySpark, Databricks, and AWS services such as Redshift, S3, and Athena; familiarity with analytics and reporting tools is a plus.

Nice to Have:

Experience with BigData, Snowflake, and ETL test automation

Hands on API testing experience

Healthcare domain knowledge, including HEDIS quality measures

What you’ll get in return

Competitive Leave & Benefits

Comprehensive health coverage

Equity for every employee – share in our success

Growth-focused environment – your development matters here

Working Arrangements

Standard hours: 9 hours/day, 5 working days

Location: Onsite

Shift: 10 AM – 7 PM local time

Our Commitment as an Equal Opportunity Employer

As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.