Data Engineer

About Us

GridCARE solves data center developers most urgent bottleneck immediate access to power through a pioneering physics-based generative AI platform that unlocks gigawatts of near-term capacity from todays grid. Partnering with utilities GridCARE applies a proprietary playbook to create additional network capacity on existing transmission infrastructure without costly upgrades or multi-year delays. Founded at Stanfords Doerr School and backed by leading investors in Energy and AI GridCARE is working with major technology and data center companies to accelerate interconnection requests for large-load and data center projects.

As a fast-growing startup we are seeking a skilled Data Engineer to help develop data-driven solutions that have real-world impact.

Job Description

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 this role youll 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.

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.

Qualifications

Required

Bachelors 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.

Preferred

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.

What We Offer

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.

Join us in shaping the future of AI for the energy transition!

How to Apply : Send your resume and a brief cover letter explaining why you are a good fit for this role to

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1