Data Engineer - Research and Clinical Data

A high-performance organization driving innovation in clinical research, biotech, and academic medical centers.
Fairfax, VA, USA
Data
Senior Software Engineer
Remote
5+ years of experience
Healthcare · Enterprise SaaS

Description For Data Engineer - Research and Clinical Data

Vibrent Health is seeking a Research Data Engineer to bridge the gap between research methodology and engineering implementation. This role focuses on transforming data from apps, wearable devices, and EHR integrations into research-ready datasets. The position requires expertise in clinical data engineering, working with large-scale healthcare datasets, and ensuring compliance with regulatory standards. As a remote-first organization, Vibrent offers the flexibility to work from home while contributing to meaningful healthcare research initiatives.

The ideal candidate will have extensive experience in healthcare data engineering, strong technical skills in Python, SQL, and cloud platforms, and a deep understanding of clinical research processes. They will be responsible for building robust data pipelines, ensuring data quality, and creating visualizations that enable actionable insights. The role combines technical expertise with domain knowledge in healthcare and clinical research.

Vibrent offers a competitive compensation package including an above-average 401k match and support for education and career development. The company values diversity and provides opportunities to work with cutting-edge technologies in healthcare and research. This position offers the chance to make a lasting impact on healthcare through data engineering excellence.

The role requires collaboration with cross-functional teams, strong problem-solving abilities, and excellent communication skills. The successful candidate will join a diverse team passionate about achieving excellence and making a meaningful impact in healthcare research.

Last updated 3 months ago

Responsibilities For Data Engineer - Research and Clinical Data

  • Design, maintain, and optimize data models for research-ready datasets
  • Build infrastructure for data extraction, transformation and loading using cloud technologies
  • Develop and maintain data warehouses, databases, and data lakes
  • Implement data validation, cleaning, and monitoring processes
  • Create and maintain data dictionaries and metadata standards
  • Develop custom dashboards and visualizations
  • Collaborate with researchers and data scientists
  • Ensure compliance with industry regulations (HIPAA, GDPR, FDA)
  • Implement security best practices for sensitive patient data

Requirements For Data Engineer - Research and Clinical Data

Python
PostgreSQL
MySQL
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Biomedical Informatics, or related field
  • 5+ years of experience in data engineering, preferably in healthcare or clinical research
  • Experience with data pipelines and heterogeneous data ingestion
  • Expert level proficiency with Python/R
  • Strong SQL and database design skills
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of healthcare data standards (FHIR, HL7, CDISC, OMOP)
  • Knowledge of XML, JSON, APIs
  • Experience with unstructured data processing
  • Strong understanding of end-to-end clinical data collection processes

Benefits For Data Engineer - Research and Clinical Data

401k
Education Budget
  • 401k
  • Education Budget

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