Software Engineer- Data Engineering (Staff/ Sr Staff)
About The Position
Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You’ll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development. This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You’ll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- 7+ 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
Nice To Haves
- 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.
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.
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
- Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
