Equilibrium Energy

Software Engineer – Data Engineering, Staff/Sr Staff

Equilibrium Energy

full-time

Posted on:

Location Type: Remote

Location: California • New York • United States

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Job Level

Senior

Tech Stack

AirflowAWSCassandraCloudElasticSearchETLKafkaMongoDBMySQLNoSQLPostgresPythonSparkSQL

About the role

  • 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.

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
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLdbtETLELTdata architecturedata modelingmachine learningdata ingestiondata processing
Soft Skills
mentoringcollaborationanalytical skillscommunicationleadershipproblem-solvingplanningexecutioncommitment to qualityorganizational skills