E Source is seeking a Databricks Data Engineer to join the Machine Learning Engineering team. This role focuses on designing, building, and maintaining scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and software-as-a-service (SaaS) solutions.
You will work closely with machine learning engineers, software engineers, data scientists, and data analysts to deliver data products for clients and to support internal data practices.
E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the utility industry in the US and Canada. We help utilities target and serve their customers more effectively, enhance and optimize their grid, and leverage operating best practices and technologies to manage their business more effectively. Headquartered in Texas, we have 450+ employees across the US and Canada. Learn more at www.esource.com.
In this role, you will:
Design, develop, and maintain data pipelines, infrastructure, and systems using AWS, Python, Databricks, Spark, and PostgreSQL
Collaborate with cross-functional teams to translate business requirements into technical solutions
Provide technical guidance and mentorship to junior data engineers
Develop and implement data engineering standards and best practices
Monitor and troubleshoot data pipelines to ensure data quality, integrity, and availability
Research industry trends and evaluate new data technologies
Build and maintain data lakes to support analytics and business intelligence
Manage the software development life cycle and DevOps activities
Partner with data scientists and analysts to deliver effective data solutions
Develop data validation and data analysis tools
You’re likely a great fit if you:
Bachelor’s degree in computer science, information technology, or a related field
Five or more years of experience in data engineering or a related role
Expert proficiency in Python, SQL, Databricks, and Spark
Experience building cloud-based data pipelines in AWS
Knowledge of data governance, security, privacy, and retention practices
Strong communication, collaboration, and problem-solving skills
Experience working in agile environments using tools such as Jira
Proficiency with Git, Docker, and CI tools such as Jenkins
Passion for data and continuous improvement
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
At E Source, you’ll work alongside people who are thoughtful, curious, and deeply knowledgeable about utility and energy systems. We value clarity over jargon, substance over flash, and collaboration over ego. You’ll have the opportunity to grow your skills, contribute to meaningful work, and help shape a company that plays a real role in how the energy future unfolds.
What you can expect:
Excellent insurance options, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; medical and dependent-care flexible spending plans, and paid parental leave.
A flexible time off (FTO) policy that provides paid time away from work, approved by your manager, while ensuring business needs, workload commitments, and appropriate coverage are maintained.
A 401(k)/RRSP plan with a 3% employer match.
The budgeted salary for this position is $115,000-$145,000 USD + annual bonus. Actual pay will be adjusted based on experience.
This role will be 100% remote, with infrequent travel (generally 1–2 times per year).
Applicants must be authorized to work for any employer in the US. We’re unable to sponsor or take over sponsorship of employment visas at this time.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source. If you are interested in similar job opportunities in the future, visit the E Source careers page for a listing of all open positions and contact Human Resources.
We contact applicants directly via email using only our designated company email addresses with the domain of @esource.com. Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses.
#LI-Remote
For decades, E Source has been a trusted partner to utilities navigating an evolving energy landscape. Across the US and Canada, utility leaders turn to our research and guidance to anticipate challenges and make confident, informed decisions. As pressure grows and resources tighten, utilities are expected to do more with less. E Source provides evidence - based insights that identify what works, reduce risk, and deliver measurable results. With deep industry visibility, we combine research and technology with real - world expertise to help utilities better serve their customers, optimize the grid, and strengthen operations. By giving utilities a clear view of risks and opportunities, our work supports smarter planning, strategic investments, and reliable execution. E Source is committed to shaping the future of the utility industry by helping clients perform, adapt, and lead the transition to a sustainable world. For more information, visit www.esource.com.
Key team members

Ben Silverman

Nicole Naassan

Stuart Schardin

Thomas Brooks, MBA
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