C-BRAIN Data Engineer (Remote) - Neurology
Washington University in St. Louis20 days ago
Remote, United StatesMid Level
Base Salary
$75k - $129k/yr
Responsibilities
- Design, build, test, and maintain scalable data ingestion pipelines and ETL/ELT workflows for consortium datasets.
- Integrate and harmonize omics, neuroimaging, longitudinal clinical, and digital pathology data into unified, analysis-ready formats.
- Implement pipeline monitoring, alerting, data quality validation, data lineage, metadata, documentation, and reproducibility practices.
- Manage cloud storage, compute resources, data lakes, access controls, infrastructure performance, costs, and deployment requirements.
- Implement and document de-identification workflows and ensure data handling complies with Data Use Agreements and PHI requirements.
- Upload and manage curated datasets in ADDI/AD Workbench and other designated repositories, including NIAGADS and GP2.
- Provide technical support for data delivery, Data Use Agreements, repository access, beta testing, and data acceptance tracking.
- Collaborate with the CTO, product managers, research scientists, data science teams, and external collaborators to translate research needs into pipeline and infrastructure specifications.
- Maintain technical documentation, data catalogs, data dictionaries, lineage records, and reporting materials.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Bioinformatics, Engineering, or a closely related field.
- At least three years of hands-on data engineering experience designing and developing production or research data pipelines and ETL/ELT workflows.
- Demonstrated proficiency in Python and SQL.
- Experience with cloud data platforms, with Microsoft Azure preferred and AWS or GCP acceptable.
- Experience integrating, harmonizing, and validating complex multi-source datasets.
- Production-grade Python development using version control, code review, and automated testing.
- Experience with at least two biomedical data modalities, including omics, neuroimaging, digital pathology, or longitudinal clinical/EHR data.
- Demonstrated experience with neurodegeneration or Alzheimer’s disease research datasets and familiarity with NACC, ADNI, or related repositories.
- Preferred experience with biomedical, clinical, or research datasets; ADDI, Synapse, Terra, or NACC/ADNI platforms; Apache Spark, dbt, Airflow, or Azure Data Factory.
- Preferred familiarity with data governance, Data Use Agreements, federated data architectures, AI/ML or data science teams, research cloud computing, data catalogs, lineage platforms, and biomedical de-identification.
- Preferred master’s degree, PhD, or terminal degree in a related field; a combination of education and experience may substitute for minimum education.
- Preferred familiarity with agentic AI, RAG or LLM-based systems, LangGraph, DSPy, biomedical NLP, knowledge graphs, Neo4j, or Amazon Neptune.
Benefits
- Remote or hybrid work under current Washington University policies, with occasional on-site meetings and consortium events.
- Up to 22 vacation days, 10 recognized holidays, and sick time.
- Competitive health insurance packages with priority appointments and lower copays or coinsurance.
- Free Metro transit U-Pass for eligible employees.
- Defined contribution 403(b) retirement plan with university contributions starting at 7%.
- Wellness programs, annual health screenings, mental health resources, mindfulness programs, employee assistance, financial resources, and dietitian access.
- Four weeks of caregiver leave and family care resources.
- Tuition coverage for employees and eligible family members, including dependent undergraduate tuition at WashU and partial coverage elsewhere after seven years.
Tech Stack
Categories
Data Engineering