GridCARE

Data Engineer

GridCARE

full-time

Posted on:

Location Type: Hybrid

Location: Redwood City • California • United States

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Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformKubernetesNumpyPandasPythonSQLTerraform

About the role

  • 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.

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

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data ingestion pipelinescloud environmentsdata analysisPythonSQLPandasNumPyETL processesdata modelingdata governance
Soft Skills
problem-solvingcommunicationcollaborationcode documentationcode reviewmaintainable codecontinuous integrationdeployment workflows
Certifications
Bachelor’s degreeMaster’s degree