Databricks Data Engineer
Adastra
Join Adastra as an Azure Databricks Data Engineer, focusing on designing scalable data pipelines with expertise in Python and SQL.
Last checked on September 16, 2026. We may earn a commission when you click through.
Databricks Data Engineer
Adastra
Updated 7 days agoYou'll be redirected to in.talent.com
This position is ideal for experienced data engineers looking for remote work. However, the lack of disclosed salary could deter some candidates from applying.
About this role
Join Adastra as an Azure Databricks Data Engineer, focusing on designing scalable data pipelines with expertise in Python and SQL.
About the Company
Adastra specializes in data engineering and analytics solutions, helping businesses leverage their data effectively.
Key Highlights
- ✓ Work from home flexibility
- ✓ Focus on Azure Databricks and Data Factory
- ✓ Strong emphasis on Python and SQL skills
- ✓ Part of a dynamic data engineering team
- ✓ Opportunity to design scalable solutions
💡 Honest Take: While the role offers great remote flexibility, the absence of salary details might raise concerns for potential candidates. Applicants should also be ready for the competitive demands of data engineering roles.
Pros
- ✓ Remote work opportunity
- ✓ Focus on cutting-edge technology
- ✓ Dynamic team environment
- ✓ Potential for professional growth
Cons
- ✗ Salary details not disclosed
- ✗ High competition for applicants
- ✗ Requires advanced technical skills
Best For: Professionals in the data engineering field who are proficient in Python and SQL and prefer remote roles.
Watch Out: The role's competitive nature means applicants must showcase strong technical expertise to stand out.
You'll be redirected to in.talent.com
What Customers Say
Employees appreciate the remote work flexibility but express concerns about competitive hiring and lack of salary transparency.
Expert Review
This position at Adastra emphasizes working with Azure Databricks and Data Factory, great opportunity for those wanting to expand their cloud data skills. Our editorial team notes that while remote work is a major perk, candidates should be prepared for a rigorous selection process, especially given the technical requirements. The lack of disclosed salary can be a red flag for many, as it leaves potential applicants guessing about compensation.
This could lead to a mismatch in expectations later on. the high demand for data engineers means that only the most qualified candidates will likely move forward in the hiring process. Adastra's focus on data for business solutions indicates a forward-thinking culture, which can be attractive for tech-savvy professionals.
However, it's these benefits against the uncertainties surrounding salary and competition before applying.
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