Data Operations Engineer - Remote

Ciudad de México, CDMX, Mexico

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Role: Data Operations Engineer
Tech Stack:
Python or C++, SQL, Bash, Git, Regex, Linux/Unix
Location:
Mexico
Modality:
Remote, full time

At Zarego, we specialize in software architecture and custom web and mobile app development. With over a decade of expertise, we deliver bold, innovative solutions for clients of all sizes, from visionary startups to multinational companies.

We're growing and looking for a Data Operations Engineer to join our team!

Responsibilities:

  • Monitor and support daily data pipeline operations, ensuring reliability and efficiency in a fast-paced environment.
  • Troubleshoot real-time trading alerts while managing research-driven workflows. 
  • Investigate, escalate, and resolve data issues related to structure, quality, and availability.
  • Improve process efficiency by developing SDKs, runbooks, and automation scripts.
  • Work closely with internal teams and external vendors to address operational needs and improve workflows.

Requirements:

  • Proficiency in Python or C++ (Perl is a plus).
  • Strong SQL skills; (experience with PromQL is a plus).
  • Experience with Bash, Git, and Regex.
  • Strong Linux/Unix skills, including debugging in a terminal, working with logs, and writing Bash scripts.
  • English level: Advanced (C1 / C2) 

If you feel identified, apply and we'll get in touch to tell you more about what we're working on.

We look forward to hearing from you!


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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture DataOps Git Linux Perl Python Research SQL

Regions: Remote/Anywhere North America
Country: Mexico

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