Data Engineer

• 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.
• 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.
• Continuing Education Opportunities
• Flexible PTO
• Medical, Dental and Vision plans with competitive employer contributions
• $1500/year non profit donation matching program through Millie
• Protecting your future for you and your family:
• Stock Option Loan Program
• $180,000 - $235,000 USD, plus competitive equity

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