Data Engineer I - Pathology
Johns Hopkins University
The Data Engineer I role involves designing and maintaining software infrastructure for data extraction and analysis to address policy-related inquiries.
Last checked on September 24, 2026. We may earn a commission when you click through.
Data Engineer I - Pathology
Johns Hopkins University
Updated 2 days agoYou'll be redirected to talent.com
A solid entry-level position for those looking to kickstart a career in data engineering, especially within the healthcare sector. However, the absence of salary details could be a red flag for some candidates.
About this role
The Data Engineer I role involves designing and maintaining software infrastructure for data extraction and analysis to address policy-related inquiries.
About the Company
Johns Hopkins University is a leading research institution known for its innovative contributions to education and healthcare.
Key Highlights
- ✓ Supports data extraction, transformation, and loading processes.
- ✓ Engages in data analysis to inform policy decisions.
- ✓ Part of a prestigious team at a renowned university.
💡 Honest Take: While the role appears rewarding, the fast-paced environment may require long hours and adaptability to shifting priorities. It's a great opportunity for those passionate about data but can be demanding.
Pros
- ✓ Opportunity to work at a prestigious university
- ✓ Engaging work in a critical field
- ✓ Potential for career growth in data engineering
Cons
- ✗ No disclosed salary range
- ✗ May involve demanding hours
- ✗ Limited remote opportunities
Best For: Individuals looking to enter the data engineering field with a focus on medical applications and policy-related analysis.
Watch Out: The lack of salary transparency may deter some applicants, so be prepared for potential negotiation.
You'll be redirected to talent.com
Expert Review
This position offers a chance to join Johns Hopkins University, a prestigious institution in Baltimore. As a Data Engineer I, you'll be involved in critical projects that help shape healthcare policy through data analysis. Software infrastructure management is a key focus, requiring both technical skills and a collaborative mindset.
Candidates should be ready for a **. While the role is ideal for those passionate about data, the fast pace may lead to long hours as you juggle multiple projects. The absence of salary information is a notable downside, making it essential for applicants to clarify compensation expectations during the interview.
Our team notes that this role may suit those with a strong interest in healthcare data**. However, it may not be the best fit for individuals seeking a clear work-life balance or those who prefer remote work options. Overall, this position could be a into the data engineering field, especially for those eager to make an impact in healthcare policy.
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