Data Operations Engineer

TableCheck

Data Eng

AWS

About this role

This engineer joins TableCheck’s Data Operations Team and owns data products for business users and developers. The team is rebuilding its tooling around dbt, Airflow, and Broadway, with services mainly on AWS.

The role manages source generation and schemas, then builds ingestion pipelines that normalize and transform client data into TableCheck’s standard model. It enforces quality, handles customer requests, configures the platform, and improves the system through feedback and testing.

Applicants need at least two years using Elixir or Ruby for production data projects, plus Python and/or Elixir and database experience such as PostgreSQL or SQLite. They need experience implementing the data-engineering lifecycle; two to three years as a data scientist, data analyst, full-stack big-data programmer, or similar; strong SQL and database-internals knowledge; familiarity with machine learning; and self-management in a technical environment. No Japanese is required.

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