Senior Data Engineer

• Architect, build, and optimize large-scale data pipelines to support analytics and machine learning applications.
• Lead the design and implementation of data models that improve performance, scalability, and data accuracy and integrity.
• Act as a technical mentor, guiding Data Engineers in best practices and architecture decisions.
• Implement ETL/ELT pipelines using tools such as Python, Airflow, and dbt.

This role accelerates a clean energy future by making energy-related data meaningful, transparent, and broadly accessible, improving electricity distribution grid planning, forecasting with a focus on distributed energy resources, and decarbonization.

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
• 4+ years of experience in data engineering with expertise in cloud data platforms.
• Deep knowledge of Python, Airflow, dbt, Google Cloud Platform (GCP), and BigQuery.
• Proven experience designing and managing scalable, high-performance data architectures.

The compensation for this opportunity includes a base salary range of $120,000-$170,000, plus equity (stock options). This is a fully remote role which can be located anywhere within the United States.

Kevala provides insight into the relationships between the consumption, production, distribution, and value of electricity by delivering data and analysis, and attendant consulting services via subscription and API licensing to the Kevala platform.