Data Engineer

Data Engineer Hybrid $140,000 - $180,000 Are you a data engineer who thrives on architecting robust pipelines and driving data innovation?

Do you love taking complex, disparate data sources and weaving them into powerful, usable solutions?

If you’re looking for a role where you’ll have ownership of cutting-edge data architecture and a chance to mentor others within a mission-driven organization, this Data Engineer opportunity could be the perfect fit.

We’re collaborating with a major healthcare institution seeking a hands-on Data Engineer to elevate data engineering and informatics practices.

This role will offer you the chance to shape how data drives decision-making across clinical, research, and operational initiatives.

You’ll work alongside top-tier teams, lead the design and implementation of modern data solutions, and directly impact the future of data within a collaborative, growth-oriented environment.

Key Responsibilities: Strategic and Technical Leadership Guide complex projects from concept to deployment, setting technical direction and ensuring data solutions meet real-world needs.Lead proof-of-concepts and champion the adoption of cutting-edge data tools and frameworks.Serve as a trusted technical mentor for junior analysts, fostering a culture of best practices and compliance with data privacy standards like HIPAA.

Data Engineering and Architecture Architect, build, and optimize advanced data pipelines and ETL workflows for large-scale, complex data ecosystems.Seamlessly integrate diverse data sources to create cohesive, high-performance solutions that power research and operational excellence.Apply biomedical informatics and data governance to ensure quality, reliability, and compliance.Author clear, comprehensive architecture documentation that sets the foundation for future innovation.Lead metadata management and data standardization initiatives to improve data usability and discoverability.

Collaboration and Communication Collaborate with researchers, clinicians, and operational stakeholders to understand data needs and translate them into impactful engineering solutions.Partner with cross-functional technical teams to deliver data products that drive meaningful outcomes.Communicate your technical vision clearly, bridging gaps between data engineering and broader organizational goals.

Key Skills & Qualifications: Required: Bachelor’s degree in Computer Science, Biomedical Informatics, Data Science, or a related field.At least 5 years of experience designing and managing data pipelines, ETL processes, and data integration initiatives.Proven ability to lead small technical teams and navigate cross-functional collaboration in complex environments.Strong expertise in data architecture, data modeling, and data governance.Deep understanding of data privacy and regulatory compliance, especially in healthcare (HIPAA). Preferred: Experience working in academic medical centers or clinical research environments.Advanced knowledge of data engineering tools (e.g., Python, Spark, SQL, Airflow).Familiarity with data visualization platforms and metadata management tools.A passion for continuous learning and pushing the boundaries of data engineering.

We’re actively scheduling interviews, press the easy apply button now to secure your spot!

If you have questions or want more information about the role, feel free to reach out: If this role doesn’t sound like the perfect fit, explore other opportunities on our careers page: