Research Data Engineer

Summary

Join Vibrent Health as a Research Data Engineer and bridge the gap between research methodology and engineering implementation. You will transform data from various sources into research-ready datasets, empowering researchers to derive meaningful insights. This remote-first position requires expertise in data modeling, ETL pipeline development, and data visualization. You will collaborate with research teams and engineers to ensure data quality and reliability. Vibrent offers a competitive compensation package, including a strong 401k match, benefits for self and family care, and support for professional development. The company uses cutting-edge technologies and partners with national leaders in healthcare and research.

Requirements

• 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

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

Preferred Qualifications

• Excellent communication and teamwork skills, with the ability to collaborate effectively in an interdisciplinary environment
• Passion for advancing digital health research and improving population health outcomes

Benefits

• Competitive compensation package
• Over-average 401k match
• Benefits you need to prioritize self and family care
• Support for your further education and career development
• Opportunity to work with latest tools and technologies including enterprise mobile apps, fitness sensors, medical devices, cloud computing, machine learning, big data and analytics