Databricks Data Engineer at e-source

Department: Grid & Operations

Compensation

$115,000 – $145,000/yr

Setup: Remote
Type: Full-time
Level: senior
Posted: Apr 27, 2026

Description

E Source is hiring a Databricks Data Engineer for its Machine Learning Engineering team to design, build, and maintain scalable data pipelines, infrastructure, data lakes, and systems supporting consulting and SaaS solutions. The role involves AWS, Python, Databricks, Spark, PostgreSQL, data governance, DevOps, data quality, and collaboration with machine learning, software, data science, and analytics teams. It requires a bachelor’s degree in a relevant field and at least five years of data engineering or related experience, offers $115,000–$145,000 USD plus an annual bonus, and is 100% remote with infrequent travel.

Required Skills

Python
SQL
Databricks
Spark
AWS
PostgreSQL
DevOps
Git
Docker
Jenkins

Additional Information

Minimum Education: Bachelor’s degree in computer science, information technology, or a related field
Required Previous Experiences: Five or more years of data engineering or related experience
Experience building cloud-based data pipelines in AWS
Experience working in agile environments using Jira
Proficiency with Git, Docker, and CI tools such as Jenkins
Preferred Qualifications: Ability to work independently and proactively
Experience optimizing ETL workflows in Databricks
Knowledge of data lineage and data quality practices
Experience supporting data science and machine learning solutions
Prior experience in the energy or utility industry
Master’s degree in a relevant STEM field

About e-source

e-source

utility industry

We help utilities optimize the grid, transform operations, and better serve their customers. We combine research, data, technology, and expertise to deliver measurable results today and sustainable impact for tomorrow.