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 designing and developing data pipelines, processing systems, and database models to support machine learning and analytics, enabling efficient data integration and real-time data processing in a clean energy technology environment.

Key Responsibilities

Build data flow channels and processing systems using Python to extract, transform, load, and integrate data from various sources via APIs
Store data in feature stores for machine learning models
Develop data pipelines and scripts for processing structured and unstructured data in near real-time using Airflow
Design and develop database models and schemas in Postgres, maintaining database code with typeorm migrations
Write GraphQL queries with Hasura to interact with databases for data retrieval and updates
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 modify code to fix defects 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 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 leveraging relational and transactional databases such as Postgres, MySQL, or MongoDB.
Five years of experience in query authoring using 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 performing root cause analysis on internal and external data and processes to answer business questions and identify opportunities for improvement.
Five years of 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 through mentorship and collaboration

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