Revenue & Energy Data Engineer — Hybrid, Flexible PTO

Gridmatic Inc

San Francisco, Cupertino (CA, CA)

Hybrid

USD 140.000 - 210.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Continuing Education Opportunities
Flexible PTO
Medical, Dental and Vision plans
$1500/year non profit donation match
Home Office Stipend
401K contribution match
Stock Option Loan Program

Zusammenfassung

Gridmatic Inc is seeking a startup-minded data engineer to build the data platform needed to answer core questions around profit and loss and how to optimize renewable supply. You will wear many hats and collaborate with multiple teams to implement robust data ingestion and transformation.

You’ll work with Python and SQL in production, design scalable data stores, and use DBT and orchestration tools like Flyte, Airflow, Prefect, or Dagster to deliver reliable analytics for trading, storage, and

Qualifikationen

  • Strong production Python and SQL skills.
  • Store and query data efficiently in relational databases and data warehouses.
  • Production DBT skills and clean data architecture.

Aufgaben

  • Build a unified set of financial data across trading, battery storage, and energy sales for real-time revenue and PnL insights.
  • Develop tooling and infra to grow renewable supply, including simulations of additional renewable resources.
  • Own data ingest and transformation, build pipelines in Flyte and Python, or models in DBT.

Kenntnisse

Python
SQL
Data warehousing

Tools

Flyte
Airflow
Prefect
Dagster
DBT

Jobbeschreibung

Gridmatic Inc is seeking a startup-minded data engineer to build the data platform needed to answer core questions around profit and loss and how to optimize renewable supply. You will wear many hats and collaborate with multiple teams to implement robust data ingestion and transformation.

You’ll work with Python and SQL in production, design scalable data stores, and use DBT and orchestration tools like Flyte, Airflow, Prefect, or Dagster to deliver reliable analytics for trading, storage, and

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