Data Engineer, Revenue and Energy Supply

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.

• 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.

• 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.

• Continuing Education Opportunities
• Flexible PTO
• Medical, Dental and Vision plans with competitive employer contributions
• $1500/year non profit donation matching program through Millie
• Home Office Stipend

• 401K contribution match up to 4%
• Company-paid parental leave
• Company Paid Life Insurance
• Stock Option Loan Program