Staff Data Engineer

Equilibrium Energy

Remote

Full Time

Posted September 12, 2025

$177k - $190k

Energy Storage

Remote

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Job Description

The Staff Data Engineer at Equilibrium Energy is responsible for building and maintaining data pipelines, processing systems, and databases to support machine learning models and data analysis, enabling efficient data integration and real-time insights in a clean energy technology environment.

Key Responsibilities

Build data flow channels and processing systems to extract, transform, and load data from various sources using APIs
Store data in feature stores for machine learning models
Develop data pipelines using Airflow for near real-time data processing
Design and develop database models and schemas in Postgres, maintaining database code
Write GraphQL queries with Hasura to interact with databases
Build DevOps pipelines and automate application build and deployment processes using Gitlab
Participate in software system design discussions and present designs to product teams
Conduct software testing, debug, and fix issues during quality assurance and user acceptance testing

Requirements

Bachelor's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Operations Research, Engineering Management, or a related field.
Five years of progressive, post-baccalaureate experience as a Data Engineer, Data Analyst, Quality Analyst, Software Engineer, or a related occupation.
Experience developing a globally distributed data services platform for at least five years.
Five years of coding experience leveraging Python, Go, Java, or other applicable languages such as Rust or Julia.
Five years of experience in data analysis and ETL/ELT pipelines to transform and collect data for accessibility to customers.
Five years of experience in developing and operating large-scale data pipelines with technologies such as Airflow, Luigi, Spark, Kafka, ElasticSearch, Cassandra, Relational Database Management Systems, and SQL.
Five years of experience leveraging relational and transactional databases such as Postgres, MySQL, or MongoDB.
Five years of experience querying SQL to provide analytics and data access to customers or applications.
Five years of experience building and optimizing big data pipelines, architectures, and data sets.
Five years of experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Five years of experience leveraging unstructured datasets to extract complex data from ambiguous requirements.

Benefits & Perks

Competitive base salary

Comprehensive medical, dental, and vision insurance

401k retirement plan

Opportunity to own equity in the company via a meaningful equity grant

Unlimited vacation

Flexible work schedule

Remote-first work environment

Accelerated professional growth and development opportunities

Collaborative and inclusive company culture

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