<div><h3>About our Company</h3> Equilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions. Our technology and market platform helps utilities, independent power producers, and commercial customers optimize their renewable energy assets, improve grid reliability, and accelerate decarbonization. As a fast-growing climate tech company, were building infrastructure that will shape the future of energy markets and enable a sustainable energy economy. Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We’re looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.</div>Equilibrium Energy, Inc. seeks a Staff Data Engineer for its Boston, MA office (telecommuting permitted).  Job Description: Build the data flow channels and processing systems in python programming language to extract, transform, load and integrate data from various data sources using the APIs. Store data in feature store for the machine learning models. Develop complex code, scripts to process structured and unstructured data near real-time and develop data pipelines using Airflow. Design and develop database models, create new data schemes in postgres, and maintain the database code using typeorm migrations. Write Graphql queries using Hasura to interact with the database to fetch and update the information. Build DevOps pipelines and automate the application build and deployment processing using Gitlab for quick product go-live cycles to quickly deliver business value. Participate in software system level design discussions and present designs to product teams to develop new modules. Participate in software testing cycle, fix any defects that may arise during Software Quality team testing and User Acceptance Testing, and debug and modify code to fix issues. Telecommuting Permitted. Education Requirement: Bachelor’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Operations Research, Engineering Management, or a related field.  Experience Requirements: Five years of progressive, post-baccalaureate experience as a Data Engineer, Data Analyst, Quality Analyst, Software Engineer, or a related occupation. Experience must include: <ul> <li>Five years of experience developing a globally distributed data services platform.</li> <li>Five years of coding experience leveraging Python, Go, Java, or other applicable languages (Rust or Julia).</li> <li>Five years of experience in data analysis and ETL/ELT pipelines in order to transform and collect data to make it accessible to customers.</li> <li>Five years of experience in developing and operating large-scale data pipelines demonstrating knowledge with technologies such as Airflow, Luigi, Spark, Kafka, ElasticSearch, Cassandra, Relational Database Management Systems, and SQL.</li> <li>Five years of experience leveraging relational databases and transactional databases (Postgres, MySQL, or MongoDB).</li> <li>Five years of experience query authoring (SQL) in order to provide analytics and access of data to customers or applications.</li> <li>Five years of experience building and optimizing big data pipelines, architectures, and data sets.</li> <li>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.</li> <li>Five years of experience leveraging unstructured datasets to effectively extract complex data from ambiguous requirements.</li> </ul>  Experience may be gained concurrently. Foreign equivalent degrees are acceptable. Wage Range: $177,341 to $190,000 To apply, please submit resume to position posting at https://www.equilibriumenergy.com/careers or to Oscar Perez at peopleops@equilibriumenergy.com and reference Staff Data Engineer in subject line.<div><h3>Not sure this is the right role for you?</h3> We are a high growth company with accelerating hiring needs so there’s a great chance we’ll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role.  <h3>What we offer</h3> Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software &amp; ML engineering. Our experience in the space means we’ve previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic &amp; collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment.  Employee benefits include:  <ul> <li>Competitive base salary and a comprehensive medical, dental, vision, and 401k package</li> <li>Opportunity to own a significant piece of the company via a meaningful equity grant</li> <li>Unlimited vacation and flexible work schedule</li> <li>Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech</li> </ul> Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.</div>

Equilibrium Energy

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