Associate Data QA Engineer

Role Overview

Associate Data QA Engineer (early-career, full remote). You will validate, analyze, and deliver high-quality client data outputs while building foundational skills in data engineering, data quality, and SQL within a modern healthcare data platform environment.

Key Missions

• Validate, analyze, and deliver high-quality client data.
• Collaborate with clients and implementation teams to understand data distribution needs and expected outcomes.
• Contribute to process improvements, documentation, and workflow efficiency in a collaborative engineering culture.

Responsibilities

• Perform data validation, profiling, and analysis.
• Build SQL queries to support validation and analysis (including basic performance tuning).
• Support data quality testing concepts and improve reliability of data outputs.

Requirements

• Clear communication skills with both technical and non-technical stakeholders.
• Interest in healthcare data and curiosity about how data moves through pipelines/platforms.
• Ability to write SQL for analysis, profiling, validation, and basic performance tuning.
• Strong organization and ability to manage multiple priorities.
• Analytical/problem-solving mindset and willingness to learn.
• Exposure to cloud platforms and modern data engineering tooling (e.g., PySpark/Databricks concepts).
• Familiarity with Snowflake or other cloud data warehouses/services.
• Prior internship or project experience with large datasets and/or ETL/ELT or data quality testing concepts.

Nice to Have

• Experience directly related to ETL/ELT workflows, data quality testing, or large-scale dataset work.