Toptal

Toptal

Toptal is a curated talent marketplace connecting freelance software developers, designers, finance experts, product managers, and project managers with businesses globally. With a focus on top 3% talent in software engineering, design, and finance, To...

Construction & Engineering
5K-10K
Founded 2010
$4M raised

Description

  • Design, review, and ship SQL models that transform raw data into reliable data products, and own the transformation layer.
  • Partner with Data Engineers to onboard, model, and publish new data sources in the warehouse.
  • Monitor warehouse operations and improve data quality, accuracy, coverage, lineage, integrity, and usability.
  • Translate ambiguous business requests into well-defined data models, business rules, and validated metrics.
  • Own the data dictionary and document data origins, definitions, flows, and calculation methodologies.
  • Diagnose and resolve data incidents, identify root causes, and act as a first responder.
  • Review teammates’ code and maintain production data warehouse standards.
  • Collaborate with Business Analysts, Data Engineers, Data Scientists, and business owners to support data-driven decisions.
  • Train and enable users to understand data complexities, nuances, and limitations.
  • Improve team playbooks, documentation, tooling, and AI-assisted warehouse workflows.

Requirements

  • Bachelor’s degree, preferably in Engineering or a related technical field.
  • 4+ years of experience as an Analytics Engineer, Data Engineer, or Data Analyst shipping production data models.
  • Expert-level SQL skills and working knowledge of Python.
  • Daily proficiency with LLMs and agentic coding tools such as Claude Code, Cursor, or equivalent.
  • Experience with cloud data warehouses such as BigQuery or Snowflake.
  • Experience with modern transformation frameworks such as dbt, Dataform, SQLMesh, or similar.
  • Git proficiency, including branching, pull requests, code reviews, and conflict resolution.
  • Familiarity with orchestration tools such as Airflow, Cloud Composer, Dagster, or Prefect.
  • Experience with exploratory data analysis, data modeling, and data governance.
  • Strong communication, problem-solving, documentation, collaboration, and independent ownership skills; familiarity with BI tools is preferred.

Benefits

  • Fully remote position with team members based globally.
  • Opportunities to work with internal AI tooling and agentic development workflows.
  • No visa sponsorship or relocation assistance is provided.
  • Resumes and communication must be submitted in English.

Interested in this position?

Apply directly on the company website

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