Associate Data QA Engineer

United StatesRemotemid

QA & TestingData QA Engineer

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Quick Summary

Overview

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,

Technical Tools

QA & TestingData QA Engineer

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 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

~1 min read

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.

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.

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.