Data Engineer

Apetan Consulting llc

Apetan Consulting LLC seeks a remote Data Engineer/Python Developer skilled in data orchestration and transformation tools. Proficiency in Git and Docker is preferred.

Last checked on September 19, 2026. We may earn a commission when you click through.

✓ Remote work flexibility ✓ Opportunity to work with cutting-edge tools ✓ Focus on data engineering and transformation

Data Engineer

Apetan Consulting llc

Updated 20 hours ago

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New Milford Remote

This role is ideal for experienced data engineers looking for remote work, but the absence of salary details may deter some applicants. It requires a skill set that not all candidates may possess.

About this role

Apetan Consulting LLC seeks a remote Data Engineer/Python Developer skilled in data orchestration and transformation tools. Proficiency in Git and Docker is preferred.

About the Company

Apetan Consulting LLC is a consulting firm specializing in data solutions and technology services, focusing on data engineering and software development.

Key Highlights

✓ Fully remote position
✓ Expertise in Airflow, Prefect, and Luigi required
✓ Familiarity with Kafka and DBT preferred
✓ DevOps skills with Git, CI/CD, and Docker are a plus

💡 Honest Take: While the position offers flexibility with remote work, the lack of disclosed salary may raise concerns for potential candidates. the requirement for a wide range of technical skills could limit applicant interest.

Pros

✓ Remote work flexibility
✓ Opportunity to work with cutting-edge tools
✓ Focus on data engineering and transformation

Cons

✗ No salary information provided
✗ Broad skill requirements may limit applicants
✗ Potentially high expectations for technical proficiency

Best For: Tech-savvy professionals with a solid foundation in data engineering and a desire to work remotely.

Watch Out: The lack of salary disclosure could make it difficult to assess if the role meets your financial expectations.

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Expert Review

This position at Apetan Consulting LLC offers a for data engineers who excel in remote environments. The focus on tools like Airflow and DBT indicates a commitment to modern data practices, but it also sets a high bar for applicants. Those lacking experience in these areas may find themselves at a disadvantage.

The requirement for DevOps knowledge, particularly with Git and Docker, suggests that the role may involve collaboration with broader development teams. This could be appealing for candidates looking to expand their skill set but may also imply a steeper learning curve for those less familiar with these technologies. While the flexibility of remote work is a clear advantage, the absence of salary information is a significant caveat.

Candidates might want to inquire about compensation during the application process to ensure it aligns with their expectations. Overall, this role is tailored for individuals ready to tackle complex data challenges in a remote setting, but it may not be suitable for those who prefer more job requirements.