Data Engineer

Gridmatic • Cupertino, CA

1d

About The Position

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean power by optimizing renewable energy and grid-scale batteries. With offices in the Bay Area and Houston, they combine Silicon Valley innovation with deep expertise in power markets and energy retail. Gridmatic tackles the challenge of energy price volatility from renewable sources with industry-leading forecasting and optimization, using large-scale data (weather, prices, load, grid conditions) to build probabilistic machine learning forecasts that drive operational decisions. Their work directly determines when power is bought, stored, or deployed, turning uncertainty into value. Gridmatic is profitable and operates in a collaborative, low-ego environment where rigorous thinking, autonomy, and continuous learning are core values. The company is looking to hire its first data engineer, a startup-minded individual who will work closely with ML, optimization, and analysts to ingest and transform data critical to all their operations.

Requirements

• A strong data engineer who has worked on large-scale production data pipelines, and can take ownership of critical datasets.
• Has worked with large-scale data, and makes good choices on data storage and schema design (relational databases, data warehouses, object storage, timeseries data).
• Has worked at a startup or similar environment, and works well with ambiguity and having a lot of scope/responsibility.
• Has strong software engineering skills. Being able to write easy-to-extend and well-tested code.
• Has experience with data processing tools like DBT, spark, kafka, flink, beam, dataflow, etc.

Responsibilities

• Owning the ingestion and transformation of datasets needed for mission-critical operations like machine learning, renewable energy supply, and battery storage.
• Designing data models and choosing good data persistence strategies around large volumes of energy and weather timeseries data.
• Creating data products using DBT and dashboards/visualizations to help us make key business decisions.
• Helping inform our data architecture, and best practices around storing and using data.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees