Equilibrium Energy

Support and maintain database systems, optimize performance, and ensure data security and availability. | Extensive experience in database administration, cloud services, scripting, and supporting large-scale data environments, but lacks specific experience in data platform engineering, data cataloging, lineage, and modern data stack components. | About our Company 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, we're 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. What we are looking for EQ's data is foundational to everything we do - powering the forecasting and optimization models that help transform the power sector. As we scale, we need someone to define how the rest of the company discovers, understands, and accesses that data. We're looking for a Staff / Sr Staff Data Platform Engineer to design and build the infrastructure, interfaces, and patterns that make our data platform genuinely useful to the 50+ engineers who depend on it. This is a foundational role. You'll be the first dedicated Data Platform Engineer at EQ, which means you'll have significant latitude to shape what data platform infrastructure looks like here - from cataloging and lineage to access patterns and self-serve capabilities. What you will do You'll be a member of EQ's Data Platform team, reporting to the Director of Data Platform. While our Data Engineers build and maintain pipelines, you'll focus on the layer above: the infrastructure and interfaces that make those pipelines discoverable, understandable, and easy to use. Key Responsibilities: Design and implement data cataloging infrastructure so engineers can discover what data exists, what it means, and how it relates to other data Build lineage capabilities that allow teams to understand data provenance and trace how data flows through our systems Define and implement consistent data access patterns and libraries that ML Engineers, Application Engineers, and Data Scientists use to interact with the data platform Create self-serve tooling that reduces the friction for teams to find and use the data they need without requiring hand-holding Contribute to the development of EQ's data ontology, ensuring data platform infrastructure aligns with how the company models its domain Partner with Data Engineers to ensure the infrastructure you build complements the pipelines they maintain Collaborate across teams to understand how engineers are using data today, where the pain points are, and what capabilities would unlock the most value Stay current with the state of the art in data platform infrastructure and bring relevant innovations back to EQ Participate in on-call rotations and contribute to improving operational excellence across the data platform The minimum qualifications you’ll need 7+ years of experience in software engineering, with a focus on data infrastructure Strong proficiency in Python and SQL Experience with modern data stack components such as Databricks, Spark, dbt, or similar Experience designing and building internal platforms, frameworks, or libraries used by other engineers Familiarity with data cataloging, metadata management, or lineage tools (e.g., DataHub, Amundsen, Unity Catalog, OpenLineage) Experience with orchestration tools such as Dagster, Airflow, or similar Ability to work across teams and translate diverse requirements into coherent platform capabilities Strong communication skills for collaborating within a remote-first team that works internationally across timezones Experience with and enthusiasm for AI-assisted development Nice to have additional skills Experience as a founding or early member of a data platform team Background building self-serve data tooling Experience with AWS infrastructure Familiarity with data modeling and semantic layers Experience supporting ML or Data Science teams Not sure this is the right role for you? 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. What we offer 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 & 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 & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment. Employee benefits include: Competitive base salary and a comprehensive medical, dental, vision, and 401k package Opportunity to own a significant piece of the company via a meaningful equity grant Unlimited vacation and flexible work schedule Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech 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.

Lead research and development of advanced optimization algorithms and energy market analytics to drive product innovation and influence company strategy. | Advanced degree in quantitative discipline with 4+ years in electricity and energy domain, strong programming and optimization skills, and experience communicating complex concepts. | About our Company 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, we're 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. What we are looking for Equilibrium was founded with a vision for building a company where innovation, collaboration, optimization, machine learning, and data science power all aspects of our algorithmic decision-making. We are looking for a staff / sr staff research scientist with deep power markets domain expertise to accelerate the design and delivery of the autonomous energy market participation, asset optimization, and valuation products that will drive the future success of our company. As a key member of our sciences group, you will play an active role in a) cultivating our culture of experimentation, insights discovery, and incremental delivery, b) facilitating research into state of the art operations research & optimization techniques, c) helping to identify, recruit, train, and mentor members of our growing team of exceptional scientists, and d) partnering with our engineers, product managers, computational scientists, analysts, and commercial team to influence the near to medium term product roadmap. What you will do Use research insights to shape product direction: Influence product and engineering roadmaps through presentation of research insights, experimental results, and model performance metrics, in order to evolve organizational direction. Initiate and lead cross-functional engagements to surface, prioritize, formulate, and structure complex and ambiguous challenges where advanced novel scientific research can have outsized company impact. Optimization algorithms formulation & research: Tackle complex scientific & operations research problems by researching published academic literature, surveying industry techniques & intuition, and executing hands-on experimental testing & modeling. Solve ambiguous energy domain-specific optimal bidding & risk management problems through novel and innovative quantitative solutions and architectures. Lead medium to long term research projects that advance the state-of-the-art in energy asset management and financial trading performance. Energy market analytics: Develop models and tools to analyze the behavior of electricity markets, including power prices, ancillary services dispatch, grid network models, transmission outages & constraints, and optimal power flows. The minimum qualifications you’ll need • Passion for clean energy and fighting climate change • An advanced degree in computer science, operations research, electrical engineering, power systems, or related quantitative discipline • 4+ years experience in the electricity & energy domain (e.g. power systems modeling, power flow, security constrained unit commitment, economic dispatch etc) • 3+ years experience with python and/or julia, and the supporting science tool suite (e.g. numpy, scipy, pandas, JuMP, etc) • Experience with optimization techniques (e.g. stochastic optimization, robust optimization) • Experience with optimization modeling packages and solvers • Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences • A collaboration-first mentality, with a willingness to teach as well as learn from others Nice to have additional skills • Demonstrated experience with developing and releasing operational optimization models in the electricity and energy domain • Experience with various US energy markets, including PJM, ERCOT, SPP, MISO, NYISO, ISO-NE, and CAISO • Experience with forecasting & time series problems • Experience with database technologies and sql • Experience with data visualization and dashboarding technologies (e.g. plot.ly Dash, Streamlit) • Experience leading and mentoring a team of scientists • Demonstrated track record of academic paper or social media publication Not sure this is the right role for you? 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. What we offer 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 & 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 & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment. Employee benefits include: • Competitive base salary and a comprehensive medical, dental, vision, and 401k package • Opportunity to own a significant piece of the company via a meaningful equity grant • Unlimited vacation and flexible work schedule • Ability to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or London • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech 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.