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Gridmatic Inc

Data Engineer, Revenue and Energy Supply

Gridmatic Inc Cupertino, California, United States · $180K–$235K/yr

Energy Technology · 51-200 employees

8 h ago
data-engineer Mid (2-5 yrs) Full-time United States
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About the role

The role involves building a robust data platform to support revenue analytics and energy supply optimization. You will own data ingestion and transformation pipelines while collaborating with multiple teams to solve complex business logic problems.

What they look for

Python SQL Data Engineering DBT Flyte Airflow Prefect Dagster Data Pipelines Data Architecture Financial Data Energy Analytics Relational Databases Data Warehousing Revenue Analytics

Requirements

Candidates should have strong production experience with Python, SQL, and DBT, along with familiarity with data orchestration tools like Flyte or Airflow. A deep interest in energy and financial data domains is essential for success in this role.

Benefits

Continuing Education Opportunities Flexible PTO Medical Insurance Dental Insurance Vision Insurance Pre-Tax Commuter Benefits Non-profit Donation Matching Home Office Stipend 401K Contribution Match Company-paid Parental Leave Company Paid Life Insurance Stock Option Loan Program

Full description

The role

Gridmatic’s business is complex, and we need to build a robust data layer to be able to answer core questions around profit and loss and how to best optimize our renewable supply.

We’re looking for a startup-minded data engineer who can wear a lot of hats, work with multiple teams, and build the data platform needed to support answering these questions.

What you might work on:

  • Revenue analytics. Building a unified set of financial data across trading, battery storage, and energy sales, allowing us to have a clear real-time view of revenue and PnL - an essential part of being an energy supplier.
  • Energy supply analytics. Building tooling and infra so we can grow our renewable supply, e.g. tooling to easily simulate additional hypothetical renewable resources.
  • Ownership of data ingest and transformation. For both revenue and supply, owning the data platform and building new ingest pipelines in Flyte and Python, or new models in DBT.

You might be a good fit if you:

  • Are interested in diving into the domain of energy and financial data (not just data infrastructure) and grappling with complex business logic and messy data
  • Have strong production Python and SQL skills
  • Have a strong understanding of how to store and query data efficiently in relational databases and data warehouses
  • Have production DBT skills, and are adept at clean data architecture
  • Have used data orchestration tools like Flyte, Airflow, Prefect, or Dagster

This role requires candidates to adhere to our hybrid policy, 3 days a week in office with at least 1 day in our Cupertino office.

Taking care of you today:

- Continuing Education Opportunities

- Flexible PTO

- Medical, Dental and Vision plans with competitive employer contributions

- Pre-Tax commuter benefits

- $1500/year non profit donation matching program through Millie

- Home Office Stipend

Protecting your future for you and your family:

- 401K contribution match up to 4%

- Company-paid parental leave

- Company Paid Life Insurance

- Stock Option Loan Program

Pay range:

$180,000 - $235,000 USD, plus competitive equity

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