Data Analytics Engineer
- Type
- Job
- Organization
- Toptal
- Location
- LATAM, Canada, USA
- Deadline
- Rolling or not stated
- Remote
- Yes
- Who can apply
- LATAM (as stated in the listing)
- Posted
- 9 October 2026
- Visa sponsorship
- The listing says no
- Skills mentioned
- SQL, Google Cloud, Python, Snowflake, dbt, Git, Airflow, Jira
About this Opportunity
About Toptal Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. With $200+ million in annual revenue and team members based around the globe, Toptal is the world’s largest fully remote workforce.
Eligibility
- Expert-level SQL skills and a working knowledge of Python.
- Fluency with LLMs and agentic coding tools.
- You already use tools such as Claude Code, Cursor or equivalent as part of your daily working practice.
- You know where they are reliable, where they should not be used, and how to verify their output.
- Experience with cloud data warehousing, such as BigQuery or Snowflake.
- Good understanding of a modern transformation framework (dbt, Dataform, SQLMesh or similar).
Documents you may need
- Updated CV / Resume
- Cover Letter (tailored to this role)
How to apply
- Click the "Apply — via Jobicy" button to go to the source page.
- Read the full description and confirm you meet the requirements.
- Prepare your CV and cover letter tailored to this role.
- Submit your application through the official portal.
- Follow up within 1–2 weeks if you do not hear back.
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