Senior Data Engineer
Johnson & Johnson
full-time
Posted on:
Location Type: Hybrid
Location: Spring House • Massachusetts, Pennsylvania • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
CloudPythonSQL
About the role
- Design scalable data models and optimize schemas for high-dimensional biological data.
- Architect and tune data lakes for performance and cost efficiency.
- Develop standardized APIs and SDKs for secure, streamlined data access.
- Collaborate with scientific teams and vendors to deliver platform capabilities.
- Maintain documentation and train users on best practices.
- Implement governance, security, and compliance frameworks.
Requirements
- Degree in Computer Science, Data Engineering, Bioinformatics, or related field; advanced degree (MS/PhD) preferred.
- 7+ years in data/platform engineering, including 3+ years with data lakes.
- Experience with biological data (omics, imaging) and analytic workflows.
- Hands-on expertise with Snowflake, SQL at scale, and cloud platforms.
- Strong programming and scripting skills (Python, SQL), and pipeline orchestration tools.
- Proven ability to design APIs and communicate technical trade-offs effectively.
Benefits
- Health insurance
- Retirement plans
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data modelingschema optimizationAPI developmentSDK developmentdata governancedata securitydata complianceprogrammingscriptingpipeline orchestration
Soft skills
collaborationcommunicationtrainingdocumentation
Certifications
degree in Computer Sciencedegree in Data Engineeringdegree in Bioinformaticsadvanced degree (MS/PhD)