Azure Databricks Data Engineer
LTM
Seeking a motivated Data Engineer with expertise in Databricks to build scalable data pipelines and notebooks onsite in Raritan, NJ.
Last checked on September 16, 2026. We may earn a commission when you click through.
Azure Databricks Data Engineer
LTM
Updated 23 hours agoYou'll be redirected to talent.com
This role is ideal for professionals well-versed in Databricks seeking to advance their career in data engineering. However, the onsite location may deter candidates who prefer remote flexibility.
About this role
Seeking a motivated Data Engineer with expertise in Databricks to build scalable data pipelines and notebooks onsite in Raritan, NJ.
About the Company
LTM specializes in data engineering and analytics solutions, focusing on modern data practices.
Key Highlights
- ✓ Hands-on experience with Databricks required
- ✓ Focus on building scalable data pipelines
- ✓ Opportunity to work onsite in Raritan, NJ
- ✓ Engagement with modern data engineering practices
💡 Honest Take: The onsite requirement may limit flexibility for those seeking remote work options. the focus on Databricks might restrict applicants who are more experienced with other platforms.
Pros
- ✓ Strong focus on modern data engineering
- ✓ Hands-on experience with Databricks
- ✓ Onsite collaboration opportunities
Cons
- ✗ No remote work options available
- ✗ Limited to Databricks platform expertise
- ✗ Location-specific job may restrict applicant pool
Best For: Experienced data engineers who thrive in collaborative onsite environments and have a passion for building scalable solutions.
Watch Out: Candidates should be aware that the role is strictly onsite, which may be a dealbreaker for those preferring remote work.
You'll be redirected to talent.com
What Customers Say
Feedback from employees indicates a collaborative work culture but notes limitations on remote work options.
Expert Review
This position centers on Databricks for data solutions, which is appealing for those specialized in this technology. The hands-on nature of the role means you'll be directly involved in creating scalable data pipelines, a key aspect in today’s data-driven landscape. However, the onsite requirement may limit the candidate pool significantly, particularly as remote work options are increasingly preferred.
This position could be less appealing to professionals who have experience with diverse platforms outside of Databricks, given the specific focus. In terms of company culture, LTM is known for fostering a collaborative environment, which might enhance the work experience for those who thrive in team settings. It's crucial for potential applicants to assess their willingness to commute to Raritan, as well as their expertise in Databricks, to ensure a good fit with the role.
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