Associate Data QA Engineer

About Us

Abacus Insights is transforming how data and AI work 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.

As the AI and Data Platform for Payer Intelligence, 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 to 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. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision.

Ready to make an impact? Join us and let's build the future together.

About the Role

We’re hiring a Associate Data QA Engineer to join our Data Engineering/TechOps organization and learn alongside experienced engineers in a modern healthcare data platform environment. You’ll help validate, analyze, and deliver high-quality client data outputs—building foundational skills in data engineering, data quality, and SQL while contributing to real client implementations.

This is an early-career opportunity designed for recent graduates who are excited to build a foundation in data engineering, healthcare data, and client-facing delivery. As a trusted partner to the team, you will support client adoption of Abacus’s data management offerings while developing hands-on experience in data analysis, mapping, SQL, data quality, and cloud-based data services.

We welcome applications from new graduates, including candidates currently authorized to work in the United States under F-1 Optional Practical Training (OPT). Candidates must be authorized to work in the United States at the time of hire.

Your day to day

• Partner with clients and implementation teams to understand data distribution needs and expected outputs.
• Perform data analysis, data mapping, and validation of client deliverables.
• Build and maintain data extract scripts with guidance from senior engineers; troubleshoot and improve performance.
• Join client and internal team meetings to understand requirements, context, and timelines.
• Contribute to process improvements, documentation, and workflow efficiency within a collaborative engineering culture.

What you bring to the team

• Interest in healthcare data and curiosity about how data moves through pipelines and platforms.
• Ability to write SQL queries for analysis, profiling, validation, and basic performance tuning.
• Analytical, problem-solving mindset and willingness to learn new tools/approaches.
• Clear communication skills with both technical and non-technical stakeholders.
• Strong organization skills and comfort juggling multiple tasks/priorities.

What we would like to see, but not required

• Exposure to cloud platforms and modern data engineering tooling (e.g., PySpark/Databricks concepts).
• Familiarity with Snowflake or cloud data warehouses/services.
• Prior internship/project experience working with large datasets, ETL/ELT, or data quality testing concepts.

Compensation: Compensation for this role is $30/hour or equivalent to $62,400 per annum.

What you'll get in return

• Unlimited paid time off: recharge when you need it.
• Work from anywhere: flexibility to fit your life.
• Comprehensive health coverage: multiple plan options to choose from.
• Equity for every employee: share in our success.
• Growth-focused environment: your development matters here.
• Home office setup allowance: one-time support to get you started.
• Monthly cell phone allowance: stay connected with ease.

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.

AI Use in Recruitment

We use AI-powered tools throughout our recruitment process. This includes Greenhouse's Real Talent Matching Technology, which helps prioritize applications based on job-related criteria, as well as additional AI tools used to support sourcing, interview preparation, and other recruiting tasks. We do not remove the human element—our recruiters and hiring teams review all applications and make all decisions related to candidate progression and hiring, regardless of which tools are used to support that process.

Identity and Location Verification

To protect the integrity of our hiring process, all interviews are conducted by live video with your camera on. Virtual or blurred backgrounds and headsets are not permitted absent an approved accommodation, and you should be in a well-lit, private space where your face and surroundings are clearly visible. Candidates who advance may also be asked to complete identity and location verification, which may include verifying your identity, work history, and confirming that you are located where your application states. Applications containing knowingly false or materially misrepresented information, including identity, location, or credentials, may be disqualified, and any offer may be rescinded if a material misrepresentation is discovered at any point in the process.

If you need an accommodation for any part of the interview process, please let your recruiter know in advance.

By applying, you acknowledge that we will collect and process your personal information for recruiting purposes in accordance with applicable data protection laws, including for the verification steps described above. Please review our Applicant Privacy Notice for more information, including your rights.