Senior Software Engineer Data Engineering
Equilibrium EnergyPosted June 11, 2025
Remote
Full Time
Job Description
The Senior Data Engineer at Equilibrium Energy is responsible for designing and implementing scalable data architectures and pipelines to support energy trading, forecasting, and AI development, enabling real-time decision-making and cross-functional collaboration in a clean energy startup environment.
Responsibilities
- •Design and implement long-term data architecture using modern technologies and frameworks.
- •Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt from various data sources.
- •Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster.
- •Design data models and schemas for cloud 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.
- •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 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
- •Competitive base salary
- •Comprehensive medical, dental, and vision insurance
- •401k retirement plan
- •Opportunity to own equity in the company via a meaningful equity grant
- •Unlimited vacation and flexible work schedule
- •Ability to work remotely from anywhere in the United States, Canada, or Europe, or join regional hubs in Boston, SF Bay Area, or London
- •Accelerated professional growth and development opportunities through collaboration and mentorship
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