Gridmatic is a startup trying to help decarbonize the grid by using deep learning to forecast energy prices. We're looking for a Lead Data Infrastructure Engineer to help scale and reliability of our data infrastructure, which is core to the ML work we do at Gridmatic.
Requirements
- Experience building the infrastructure for large-scale data processing pipelines (both batch and streaming) using tools like Spark, Kafka, Apache Flink, and Apache Beam.
- Experience designing and implementing large-scale data storage systems (feature store, timeseries DBs) for ML use cases.
- Experience building data pipelines for external data sources that are observable, debuggable, and verifiably correct.
- Strong distributed systems and infrastructure skills.
- Strong software engineering skills.
Benefits
- 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
- 401K contribution match up to 4%
- Company-paid parental leave
- Company Paid Life Insurance
- Stock Option Loan Program