Remote Data Engineer

Pavago

Join Pavago as a Remote Data Engineer, focusing on ETL, data pipelines, and cloud data solutions using tools like BigQuery, Snowflake, and Python.

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

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✓ Remote work flexibility ✓ Engagement with cutting-edge technologies ✓ Dynamic and collaborative work environment

Remote Data Engineer

Pavago

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Yonkers Remote

This position is ideal for skilled data engineers seeking remote work opportunities. However, candidates should be prepared to negotiate salary, as no information is provided upfront.

About this role

Join Pavago as a Remote Data Engineer, focusing on ETL, data pipelines, and cloud data solutions using tools like BigQuery, Snowflake, and Python.

About the Company

Pavago is a technology company specializing in data solutions, helping organizations optimize their data infrastructure.

Key Highlights

  • ✓ Fully remote position with flexible work hours
  • ✓ Focus on cloud data technologies like BigQuery and Snowflake
  • ✓ Opportunity to work with a variety of data engineering tools
  • ✓ Emphasis on both software engineering and analytical skills
  • ✓ Join a dynamic team in a growing field

💡 Honest Take: While the role offers great flexibility, the absence of disclosed salary information could deter some candidates. It's worth confirming compensation expectations during the interview process to avoid surprises later.

Pros

  • ✓ Remote work flexibility
  • ✓ Engagement with cutting-edge technologies
  • ✓ Dynamic and collaborative work environment
  • ✓ Focus on professional growth and skills development

Cons

  • ✗ Salary not disclosed
  • ✗ Potentially high competition for roles in data engineering
  • ✗ Lack of specific experience level requirements may lead to ambiguous expectations

Best For: Tech-savvy professionals with a background in data engineering and a desire for flexible work arrangements.

Watch Out: Be aware that without salary information, you may need to negotiate your compensation during the hiring process.

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Expert Review

Our team found this role with Pavago combines the appeal of remote work with the challenge of handling advanced data technologies. You'll work with tools like BigQuery, Snowflake, and Python, essential for modern data engineering. The focus on both ETL processes and data pipelines means you'll be diving deep into the technical side, which can be rewarding but also demanding.

From our analysis, the lack of disclosed salary can be a red flag for some applicants. It’s advisable to enter the interview with clear salary expectations to ensure alignment with Pavago's compensation philosophy. Candidates should also consider the competitive landscape, as many skilled professionals are vying for similar roles.

If you're passionate about data and eager to contribute to a team that values this could be a great fit. Just keep in mind the potential challenges regarding clarity on compensation and the competitive nature of the field. For more details, you can visit Pavago's listing on Talent.com.

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