Associate Data QA Engineer

Abacus Insights

Associate Data QA Engineer validating healthcare data outputs for Abacus Insights. Supporting client implementations through SQL, data mapping, extraction, and quality testing.

Posted 8/7/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $30 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical skills and problem-solving abilities in data analysis and validation, with proficiency in SQL for data profiling and performance tuning. Effective communication with both technical and non-technical stakeholders is essential, along with strong organizational skills to manage multiple priorities.

Highest-signal resume keywords

SQL Query WritingData AnalysisData MappingProblem-Solving MindsetClear Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisData MappingData ValidationPerformance Tuning

Soft Skills

Analytical MindsetProblem-SolvingStrong Organization SkillsClear Communication

Tools & Technologies

Cloud PlatformsData Engineering ToolingPySparkDatabricksSnowflake

Industry Keywords

Healthcare DataData PipelinesETLELTData Quality Testing

Tech Stack

Tools & technologies

CloudETLPySparkSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
Candidates must be authorized to work in the United States at the time of hire.
Location: Pacific Time Zone preferred; candidates outside PST must be able to work core hours aligned to Pacific Time.
Exposure to cloud platforms and modern data engineering tooling (e.g., PySpark/Databricks concepts) is not required.
Familiarity with Snowflake or cloud data warehouses/services is not required.
Prior internship/project experience with large datasets, ETL/ELT, or data quality testing concepts is not required.

Benefits

Comp & perks

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.