Remote Data Engineer

Pavago

Join Pavago as a Remote Data Engineer, focusing on ETL processes, data pipelines, and analytics engineering using tools like BigQuery and Snowflake.

Last checked on September 25, 2026. We may earn a commission when you click through.

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✓ Remote work flexibility ✓ Diverse technology stack ✓ Opportunities for career growth

Remote Data Engineer

Pavago

Updated 45 minutes ago
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Yonkers Remote

This position is ideal for experienced data engineers looking for remote work and who thrive in s. However, the lack of salary transparency may be a drawback for some candidates.

About this role

Join Pavago as a Remote Data Engineer, focusing on ETL processes, data pipelines, and analytics engineering using tools like BigQuery and Snowflake.

About the Company

Pavago is a technology company focused on data solutions, offering remote work opportunities in the data engineering sector.

Key Highlights

  • ✓ Work remotely from anywhere in the US
  • ✓ Focus on data pipelines and ETL processes
  • ✓ Utilize tools like BigQuery, Snowflake, and Airflow
  • ✓ Collaborate with a team of skilled engineers
  • ✓ Strong emphasis on analytical thinking and back-end engineering

💡 Honest Take: While remote work offers flexibility, positions like these often come with high expectations and tight deadlines. Be prepared for a fast-paced environment where project timelines can shift unexpectedly.

Pros

  • ✓ Remote work flexibility
  • ✓ Diverse technology stack
  • ✓ Opportunities for career growth
  • ✓ Collaborative team environment
  • ✓ Focus on innovative data solutions

Cons

  • ✗ Salary not disclosed
  • ✗ High-pressure projects
  • ✗ Potentially long hours
  • ✗ May require rapid learning of new tools
  • ✗ Limited in-person interaction

Best For: Tech-savvy individuals with a strong background in data engineering and a knack for problem-solving.

Watch Out: Salary details are not disclosed, which could lead to uncertainty about compensation expectations.

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Expert Review

This role allows for significant flexibility, making it for those who prefer remote work. Candidates will engage with tools like BigQuery, Snowflake, and Redshift, which are essential for modern data engineering tasks. Expect a demanding environment where analytical skills and software engineering principles are crucial.

The company emphasizes effective ETL processes, so familiarity with Airflow and Python is a plus. that while remote positions are appealing, the lack of salary transparency could be a deterrent. The company’s website does not specify compensation, which may lead to negotiation challenges later on.

For those looking for job security in their financial expectations, this might raise some red flags.

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