Collaborate with Data Science, PMs, and engineers to build robust ETL pipelines.
Contribute to architecture decisions, observability tooling, and data quality initiatives.
Build a scalable internal framework for managing prompt engineering pipelines.
Enforce engineering best practices across AI/ML, including code quality and testing.

🎯 Requirements

5+ years in data or backend engineering focusing on data infra.
Designing scalable data pipelines with Airflow, Dagster, or Prefect.
VCS, CI/CD, and dbt testing practices.
Strong SQL and Python; TypeScript bonus.
Cloud infra experience (AWS, GCP, Terraform) and CI/CD.
Able to navigate ambiguity and collaborate with stakeholders on data needs.

🎁 Benefits

Stock options
Benefits package
Remote-friendly culture

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