Remote opportunity at
ToptalData Analytics Engineer
Toptal operates a worldwide network of talent that helps companies scale teams on demand, and it describes itself as data-driven. This full-time, remote Data Analytics Engineer…
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About This Role
Toptal operates a worldwide network of talent that helps companies scale teams on demand, and it describes itself as data-driven. This full-time, remote Data Analytics Engineer belongs to the company's business analytics center of excellence. The engineer lays the data foundation that supports the company's analytics work, owns the transformation layer and serves as product owner for the data warehouse. The aim is to make trustworthy data available to everyone…
Job Description
Toptal operates a worldwide network of talent that helps companies scale teams on demand, and it describes itself as data-driven. This full-time, remote Data Analytics Engineer belongs to the company's business analytics center of excellence. The engineer lays the data foundation that supports the company's analytics work, owns the transformation layer and serves as product owner for the data warehouse. The aim is to make trustworthy data available to everyone who depends on it, including the analysts who use it, the engineers who build it, data scientists and AI agents.
Work centers on writing, reviewing and releasing SQL models that convert unprocessed data into dependable data assets. The engineer governs quality, accuracy, coverage and security, designs data structures and relationships, and maintains a data dictionary that traces every field to its origin. That documentation feeds both people and AI agents. The engineer also converts loose business requests into modeled data, defining grain, business rules and edge cases, and pushes back when a request would produce a misleading figure.
Other duties include fixing data incidents, reviewing teammates' code, watching the warehouse for quality and cost issues, and improving the agent playbooks and tools the team uses. The posting expects comfort with LLMs and agentic coding assistants, along with the discipline to check AI-written code before release. It also values a deep understanding of the company's metrics and the judgment to decide what matters.
Applicants need at least four years in analytics engineering, data engineering or data analysis, having personally shipped production models. Expert SQL, working Python, experience with BigQuery or Snowflake, and a transformation framework such as dbt or Dataform are required. A bachelor's degree is required, with engineering or a closely related technical discipline preferred. Applications and correspondence must be in English.
Responsibilities
- Design, write, review and release SQL models that transform raw data into data products
- Own the transformation layer and work with data engineers to bring new sources into the warehouse
- Run requirements sessions, document grain and business rules, and flag misleading numbers
- Maintain the data dictionary and column documentation that feeds the semantic layer
- Investigate data incidents and review teammates' work
- Monitor the warehouse for accuracy, coverage, structure and usability problems
- Improve agent playbooks, documentation and tooling for warehouse work
Requirements
- Four or more years shipping production data models in an analytics or data role
- Expert SQL and working Python
- Comfort with LLMs and agentic coding assistants, plus the ability to verify what they produce
- Experience with a cloud warehouse such as BigQuery or Snowflake
- Working knowledge of a transformation framework such as dbt, Dataform or SQLMesh
- Git skills covering branching, pull requests, code review and conflict resolution
- Experience with data governance and exploratory analysis of raw data
- Excellent written and verbal communication
Qualifications
- Bachelor's degree, preferably in engineering or a closely related technical discipline
- Working acquaintance with schedulers such as Airflow, Dagster, Prefect or Cloud Composer
- Experience with BI tools such as Tableau or Power BI
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this role remote?
Yes. The posting lists it as remote and states that visa sponsorship is not offered.
What technical skills are required?
Candidates need expert SQL, working Python skills, cloud warehouse experience with BigQuery or Snowflake, and familiarity with dbt or Dataform.
Is the job full-time and what is the pay?
The posting describes a full-time role. It does not state a salary or pay range.
Does the posting describe how to apply?
No application steps are listed. The posting only requires applications and correspondence in English.
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