[Hiring] Associate Data QA Engineer @Abacus Insights

Role Description

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.

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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.