Databricks Data Engineer
Adastra
Join Adastra as an Azure Databricks Data Engineer, focusing on designing and maintaining scalable data pipelines with expertise in Python and SQL.
Last checked on September 15, 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 opportunity is great for data engineers with solid Azure Databricks experience looking for remote work, but the lack of salary transparency may deter some applicants.
About this role
Join Adastra as an Azure Databricks Data Engineer, focusing on designing and maintaining scalable data pipelines with expertise in Python and SQL.
About the Company
Adastra is a data engineering company specializing in cloud solutions and big data analytics.
Key Highlights
- ✓ Fully remote work opportunity
- ✓ Hands-on experience with Azure Databricks
- ✓ Strong technical skills in Python and SQL required
- ✓ Focus on scalable data pipeline design
💡 Honest Take: While the role promises a fully remote setup, potential applicants should be prepared for a competitive selection process. The emphasis on specific technical skills may narrow the pool of suitable candidates.
Pros
- ✓ Remote work flexibility
- ✓ Strong focus on data engineering skills
- ✓ Opportunity to work with cutting-edge technologies
Cons
- ✗ No salary range provided
- ✗ High competition for skilled candidates
- ✗ Potentially high expectations for technical proficiency
Best For: Professionals with a background in data engineering and expertise in Python and SQL looking for remote roles.
Watch Out: The job listing does not disclose salary information, which can be a significant consideration for many applicants.
You'll be redirected to in.talent.com
What Customers Say
Current employees appreciate the remote work flexibility but note the high expectations for technical expertise.
Expert Review
This position emphasizes proficiency in Azure Databricks and Data Factory, making it essential for candidates to showcase relevant experience. Our team found that the remote work model is appealing, but candidates should be ready for an in-depth technical interview. The competitive nature of the role means that only the most qualified applicants will likely proceed through the selection process.
without salary information, candidates may need to weigh the opportunity against their financial expectations. It's advisable for applicants to prepare for negotiations, given the high demand for skilled data engineers in the market. Unlike some other remote roles in the tech sector, this position has specific technical requirements that may limit accessibility for less experienced candidates.
while the job offers great remote working conditions, potential applicants should be prepared for a rigorous hiring process and consider their financial needs carefully before applying.
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