Data Engineer
Photon
Photon seeks a Data Engineer with advanced qualifications in Computer Science or Engineering and expertise in Data Engineering.
Last checked on September 15, 2026. We may earn a commission when you click through.
This role is ideal for highly qualified data engineers looking to advance their careers. However, the absence of salary information might be a red flag for some job seekers.
About this role
Photon seeks a Data Engineer with advanced qualifications in Computer Science or Engineering and expertise in Data Engineering.
About the Company
Photon is a technology company focused on data solutions and engineering.
Key Highlights
- ✓ Requires MS/PhD in relevant technical fields
- ✓ Specialization in Data Engineering
- ✓ Experience with ETL and data lakehouse technologies
- ✓ Focus on Data Modeling techniques
💡 Honest Take: While this position offers a great opportunity for advanced data professionals, the lack of disclosed salary may deter some candidates. competition for roles in data engineering can be intense, making it essential to have a standout application.
Pros
- ✓ Opportunities for career advancement
- ✓ Work with cutting-edge data technologies
- ✓ Collaborative work environment
Cons
- ✗ Salary not disclosed
- ✗ High competition for positions
- ✗ Remote work not available
Best For: Professionals in data engineering looking to leverage their expertise in a dynamic company environment.
Watch Out: The lack of salary transparency could mean varying compensation expectations among candidates.
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What Customers Say
Current employees praise the innovative projects but note a lack of transparency regarding salaries.
Expert Review
Photon is actively seeking a Data Engineer, but applicants should prepare for a rigorous selection process given the competitive nature of the field. Candidates must possess an MS or PhD, along with specialization in Data Engineering, which can narrow the candidate pool significantly.
The company's focus on ETL and data lakehouse technologies means that familiarity with these tools is essential. Hands-on experience in Data Modeling will also be crucial for success in this role.
While the collaboration within the team may be beneficial for professional growth, the absence of remote work options could limit appeal for those preferring flexibility. Interested candidates should check the official listing for more details on application processes and expectations.
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