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Senior Data Engineer

Summary

Designs and maintains a Snowflake-based analytics warehouse for grid-operator dashboards, using Python, dbt, and orchestration tools like Airflow/Dagster. Focuses on data pipeline reliability, testing, and documentation for energy/climate analytics.

Company context

Founders are ex-utility-sector operators. Products used by grid operators.

Role summary

Design and own the analytics warehouse powering grid-operator dashboards. 6-month scope, renewable.

What makes this opportunity stand out

  • Renewable 6-month contract, consistent hours.
  • Paid redeployment if the engagement ends early.
  • Equal pay across geographies.

What we're looking for

  • 5+ years in data engineering with Snowflake (or similar warehouse), dbt, and batch orchestration (Airflow or Dagster).
  • Strong Python for pipelines and a pragmatic approach to testing, quality, and documentation in analytics code.
  • Domain interest in energy / climate is a plus; must be able to work effectively across US time zones.

Logistics & comp (indicative)

  • Title:** Senior Data Engineer — Senior (Contract)
  • Client:** Climate-tech startup
  • Style:** Global in US hours
  • Location:** Remote (Americas)
  • Model:** Remote
  • Time zone / hours:** US Mountain overlap
  • Compensation (indicative—confirm in process):** $90–$120 / hr
  • Primary stack / tools:** Python, Snowflake, dbt, Airflow, Dagster

This listing is not currently advertised with visa sponsorship. We still review strong cross-border or authorization candidates where it makes sense—confirm in your intro if this applies to you.

See also

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