Abacus Insights→
Data Quality Engineer Intern (Post Grad) at Abacus Insights in Remote
Skills
Job Description
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
We’re hiring a Data Quality Engineer Intern 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.
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 $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
- Growth-focused environment – your development matters here #LI-RF1 #LI-Remote
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.