Senior Software Engineer

Summary

Join Equilibrium Energy, a Series B clean energy startup, as a Senior Data Engineer and play a critical role in shaping our long-term data architecture. You will lead the design and implementation of high-impact data initiatives supporting energy trading, forecasting, and AI development. This hands-on role blends platform engineering, advanced data processing, and cross-functional collaboration, scaling systems for near real-time decision-making. You will partner with various teams, mentor other engineers, and ensure high-quality datasets for machine learning and analytics. We offer a competitive salary, comprehensive benefits, unlimited vacation, flexible work schedule, remote work options, and accelerated professional growth opportunities.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field
• 6+ years of progressive experience in data or software engineering
• Advanced programming skills in Python and SQL
• Experience building globally distributed data systems and real-time pipelines
• Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka
• Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra)
• Familiarity with data warehousing and cloud computing (Databricks and AWS preferred)
• Experience mentoring engineers and providing architectural direction
• Strong analytical skills, with the ability to work with unstructured or ambiguous datasets
• Commitment to data quality, testing, and observability
• Experience with both OLTP and OLAP data processing systems

Responsibilities

• Design and implement the long-term data architecture using modern technologies and frameworks
• Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt—ingesting data via APIs, web scraping, and streaming sources
• Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster
• Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store
• Optimize workflows for performance and cost efficiency
• Drive large, cross-functional data initiatives from planning to execution
• Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics
• Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products
• Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design
• Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing

Preferred Qualifications

• Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy)
• Experience using dbt for transformations and data quality checks
• Collaborating with data science teams to build and productionize ML pipelines
• Familiarity with DataOps practices and CI/CD for data workflows
• Knowledge of real-time data technologies, graph databases, or unstructured data processing
• Understanding of power systems, grid operations, or financial aspects of energy trading

Benefits

• 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