From the listing
About the role
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.
The primary objective of the Data Analytics Engineer is to help drive business impact and better decision making by laying the data foundation for a world-class analytics function. This role sits within the Business Analytics Center of Excellence and will ensure trustworthy data is available for all downstream data users.
This role requires an AI-heavy workflow and skillset. Toptal has transformed its codebase to be instrumented for agentic development and continues to build internal AI tooling. This is a remote position.
What you'll do
- Design, write, review and ship SQL models across repositories that transform raw data into usable data products for all organizational stakeholders. Own and maintain the transformation layer.
- Be the product owner for the data warehouse and coordinate closely with functional Business Analysts and Data Engineers.
- Proactively work with Data Engineers to ensure new data sources are added and available, then modeled and published in the data warehouse.
- Proactively monitor the data warehouse and extract insights to identify opportunities to improve data operations, data accuracy and quality, coverage, integrity, structure, and general usability.
- Turn ambiguous business asks into modeled data. Run requirements gathering with stakeholders, establish the grain, surface edge cases, document business rules, and push back when a request would produce a misleading number.
- Implement measures and processes to improve data quality, accuracy, coverage, lineage, access and retention across dozens of source production databases.
- Own the data dictionary. Write table and column documentation that traces each field to its true origin, for consumption by AI agents as well as humans as part of the semantic layer.
- Diagnose and resolve data incidents.
- Review teammates’ code and provide feedback to maintain the hygiene of the data warehouse production environment.
- Work closely with Business Analysts, Data Engineers, Data Scientists, and business process owners to empower data-driven decision making.
- Enable end users to better use data and understand complexities, nuances, and limitations.
- Improve the agent playbooks, documentation, and tooling the team uses to work with the warehouse.
What they're looking for
- Bachelor’s degree is required.
- 4+ years of experience in an Analytics Engineer, Data Engineer, or Data Analyst role where you personally shipped production data models.
- Expert-level SQL skills and a working knowledge of Python.
- Fluency with LLMs and agentic coding tools. Daily use of tools such as Claude Code, Cursor or equivalent, understanding 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 such as dbt, Dataform, or SQLMesh, including dependency graphs, refs, incremental strategies, tests and environment promotion.
- Git fluency: branching, pull requests, code review, conflict resolution and working with a critical production environment.
- Strong familiarity with orchestration tools such as Airflow, Cloud Composer, Dagster or Prefect. Ability to read a DAG, understand its schedule and dependencies, and find out why a task failed.
- Process discipline, including Jira, ticket hygiene, and code review etiquette. Understanding how to avoid shipping unverified LLM-generated code is mandatory.
- Experience in exploratory/raw data analysis, data modeling, and data governance, including quality, accuracy, coverage, and security.
- Experience translating business logic and objectives into SQL code and linking data and analytics to business strategy and operations to drive real impact.
- Familiarity with BI tools such as Tableau or Power BI.
Nice to have
- Bachelor’s degree preferably in Engineering or a related technical field.
Benefits, as listed
The hot takeJeff's read on Toptal
Toptal has one of my favorite (and clear) remote work policies:
Work Remotely
Work wherever, on your terms. Being a fully-remote workforce means that all you need is wifi and a laptop. You can work from home, your favorite cafe, or even a charming villa halfway around the world.
I would love to see a little more information about the perks and benefits Toptal offers its employees.
Note: They do NOT appear to be a Hire From Anywhere (HFA) company. You likely need to be eligible to apply for certain positions.