Data Engineer

GridCARE • Redwood City, CA

64d • Hybrid

About The Position

We are looking for a Data Engineer with hands-on experience in data ingestion into cloud environments, finding and retrieving new datasets, and performing analysis on various data types, including time-series and non-relational data. In this role, you’ll streamline data processes, ensure data quality and accessibility, and collaborate with UI/UX and AI leads to leverage data for innovative solutions. This is a unique opportunity to combine deep data engineering and scientific expertise with cutting-edge AI solutions applied to solve the most impactful speed to power in the energy industry.

Requirements

• Bachelor’s or higher in Computer Science, Data Science, Electrical Engineering, or a related quantitative field.
• Proficiency with cloud data platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.
• Strong coding skills in Python, SQL, including experience with data manipulation libraries (e.g., Pandas, NumPy) and database interaction and version control (git).
• Ability to write well-documented, tested, and maintainable code.
• Conduct code reviews and contribute to continuous integration and deployment workflows.
• Strong understanding of data modeling, ETL processes, and data governance.
• Knowledge of time-series analysis techniques and non-relational database concepts.
• Excellent problem-solving, communication, and collaboration skills in a fast-paced startup environment.

Nice To Haves

• 2+ years of experience in data engineering, data science, or related areas.
• Experience integrating and tuning 3rd party AI agents.
• Able to leverage AI code development tools such as Cursor, Copilot, and Claude Code to accelerate development.
• Experience working with energy data, including Virtual Power Plants (VPPs), batteries, and control systems.
• Experience with Kubernetes, Terraform, Helm charts and deploying data applications in the cloud.
• Familiar with DevOps pipelines, tools, and requirements.

Responsibilities

• Design and implement data ingestion pipelines into cloud environments, ensuring efficient and scalable data pipelines.
• Identify, find, and integrate new datasets from various sources, both internal and external.
• Analyze time-series and non-relational data, extracting valuable insights.
• Build robust, reusable code to automate data workflows, ensuring reproducibility and scalability.
• Collaborate with software engineers and domain experts to streamline data processes and improve accuracy.
• Evaluate data storage and processing resources, including cloud-native solutions.
• Stay engaged with the latest data engineering and science news, standards, and emerging AI-driven solutions in data management.

Benefits

• Competitive salary and equity.
• Comprehensive benefits package: 401k, healthcare, dental, vision, etc.
• Hybrid work environment with catered lunches and snacks.
• The chance to work at the intersection of AI, automation, and data systems alongside experienced engineers and leading researchers.
• A mission-driven team focused on shaping the future of the energy transition.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees