Data Engineer
National Board of Medical Examiners
Join NBME as a Data Engineer to enhance DataOps tools while collaborating with a team of skilled data professionals.
Last checked on September 8, 2026. We may earn a commission when you click through.
Data Engineer
National Board of Medical Examiners
Updated 20 hours agoYou'll be redirected to talent.com
This position is ideal for skilled data engineers looking to make an impact in the healthcare assessment space. However, candidates should weigh the lack of salary transparency against the opportunity for professional growth.
About this role
Join NBME as a Data Engineer to enhance DataOps tools while collaborating with a team of skilled data professionals.
About the Company
The National Board of Medical Examiners (NBME) is dedicated to advancing the quality of healthcare through assessment services.
Key Highlights
- ✓ Collaborate with data and DevOps engineers
- ✓ Focus on improving DataOps tools and frameworks
- ✓ Work with AI-assisted engineering solutions
💡 Honest Take: The lack of disclosed salary may deter some candidates, as compensation transparency is increasingly valued. the role's remote status could limit flexibility for potential applicants.
Pros
- ✓ Opportunity to work with AI technologies
- ✓ Collaborative team environment
- ✓ Impactful work in healthcare assessment
Cons
- ✗ Salary not disclosed
- ✗ On-site position may limit applicants
- ✗ Potentially high expectations for experience
Best For: Professionals with a strong background in data engineering who thrive in collaborative settings.
Watch Out: The absence of salary information can be a back for candidates prioritizing compensation clarity.
You'll be redirected to talent.com
Expert Review
The Data Engineer III role at NBME offers a chance to work on meaningful projects that directly influence healthcare assessments. Collaboration with a variety of skilled professionals is a key aspect, enhancing the learning experience. Unlike many tech roles that offer remote options, this position is strictly on-site in Philadelphia, which could limit the talent pool.
While the role emphasizes improvement opportunities in DataOps tools, candidates should be prepared for a potentially high-pressure environment due to the critical nature of healthcare data. The company’s focus on AI-assisted engineering indicates a forward-thinking approach, but it also suggests that adaptability and a willingness to learn new technologies are essential.
Overall, without salary details provided, applicants may find it challenging to evaluate the role's fit against their financial needs. For those particularly invested in healthcare technology and looking to grow their careers, this could be a rewarding opportunity, but it’s essential to clarify compensation expectations before proceeding.
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