Software Engineer- Data Engineering Staff Sr Staff
Equilibrium EnergyRemote
Full Time
Posted December 10, 2025
Energy Trading
Remote
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Application opens on company website
Job Description
The role involves designing and implementing scalable data architectures and pipelines to support energy trading, forecasting, and AI development in a clean energy startup, enabling real-time decision-making and cross-functional collaboration.
Key Responsibilities
- Design and implement the long-term data architecture using modern technologies and frameworks.
- Build and maintain scalable ETL/ELT data pipelines 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 cloud data warehouses and relational databases, and contribute to ML feature store development.
- Optimize data workflows for performance and cost efficiency.
- Lead 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 data products.
- Mentor engineers on best practices for data ingestion, architecture, and scalable pipeline design.
- Support software testing, debug code, and resolve issues during QA or user acceptance testing.
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 experience with orchestration stream processing tools such as 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 platforms such as Databricks and AWS.
- 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.
Benefits & Perks
Competitive base salary
Comprehensive medical, dental, and vision insurance
401k retirement plan
Opportunity to own a significant piece of the company via equity grant
Unlimited vacation and flexible work schedule
Accelerated professional growth and development opportunities
Balanced, flexible, and remote-first work environment
Diverse and inclusive workplace
Ready to Apply?
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