Remote Data Platform Engineer for Grid Analytics

Camus; Campbell (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Remote work

Flex PTO

Bay Area in-office option

Job summary

Camus Energy is seeking a Data and Serving Software Engineer to build scalable analytics and orchestration components, blending infrastructure and data quality. You'll work with forecasting, ML, and power-flow experts to design, deploy, and maintain production services and APIs.

Join a team focused on reliable data, performant designs, and cost efficiency as we expand our platform to support real-time grid decisions and dashboards. This fully remote role offers Bay Area in-office options.

Qualifications

• Minimum 3 years of software engineering experience with an infrastructure focus.
• Experience with ML or forecasting models—training pipelines, inference systems.
• Experience with Python 3, Kubernetes and GCP.
• Experience working with complex real-world data.
• A collaborative approach to design and cross-team alignment.

Responsibilities

• Shape the future of our data layer - design and build backend storage, services, APIs, and platform infra.
• Handle data lifecycle from ingestion to analytics publication and quality feedback.
• Collaborate with Product, analytics, and other infra engineers to maintain a coherent platform.

Skills

Software engineering

Infrastructure focus

Python

Kubernetes

GCP

Machine learning

Data pipelines

Tools

SQL

Databases

Data Warehouses

Job description

Camus Energy is seeking a Data and Serving Software Engineer to build scalable analytics and orchestration components, blending infrastructure and data quality. You'll work with forecasting, ML, and power-flow experts to design, deploy, and maintain production services and APIs.

Join a team focused on reliable data, performant designs, and cost efficiency as we expand our platform to support real-time grid decisions and dashboards. This fully remote role offers Bay Area in-office options.