Vibrent Health · 8 hours ago

Research Data Engineer

Fairfax

Full-time

Remote

Mid Level

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Responsibilities

Design, maintain, and optimize data models to create robust, research-ready datasets.

Harmonize and standardize variables, ensuring consistent naming conventions, clear definitions, and logical coding schemas.

Build and refine ETL processes using SQL and Python to transform raw health data into structured formats suitable for analysis.

Collaborate with engineering teams to ensure data pipelines are reliable, scalable, and performant.

Partner with Vibrent’s research teams to understand study protocols and data requirements.

Translate research questions into optimized queries, aggregations, and summaries that facilitate quick, accurate analysis.

Develop custom dashboards, reports, and interactive visualizations (e.g., Tableau, Looker, or Python-based libraries) to empower stakeholders with real-time access to quality metrics and research findings.

Create and maintain comprehensive data dictionaries, metadata standards, and codebooks to enhance data transparency and reproducibility.

Conduct periodic data quality checks and audits to ensure compliance with research standards and regulatory requirements.

Work closely with engineers, product managers, and researchers to integrate research needs into the product roadmap.

Participate in code reviews, agile sprints, and continuous improvement initiatives.

Qualification

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Data ModelingETL ProcessesSQLPythonCloud Data WarehousingGitBI ToolsData VisualizationData Quality ChecksTeamwork Skills

Required

Master’s or Ph.D. in a relevant field (e.g., Epidemiology, Public Health, Health Informatics, Biostatistics, Data Science) or equivalent professional experience.

Proven track record of handling health/clinical datasets and supporting research analysis.

Proficiency in SQL and Python, with experience creating ETL pipelines and implementing data modeling best practices.

Familiarity with cloud-based data warehousing (e.g., AWS Redshift, Snowflake, BigQuery) and version control (Git).

Experience with BI tools and data visualization methods.