Revenue & Energy Data Engineer — Hybrid, Flexible PTO

Gridmatic Inc; San Francisco, Cupertino (CA, CA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

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

Job summary

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

Qualifications

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

Responsibilities

• 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.

Skills

Python

SQL

Data warehousing

Tools

Flyte

Airflow

Prefect

Dagster

DBT

Job description

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