Databricks Data Engineer

Databricks Data Engineer

Anywhere

Type: Permanent

Category: Development

Industry: Energy

Workplace Type: Remote

Standard

Hours:

Open

Reference : JN -

Date Posted: 11/01/2026

Shortcut:

Description:

Remote

Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and SaaS solutions. You will partner with machine learning engineers, software engineers, data scientists, and analysts to deliver data products for clients and to support internal data practices.

This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.

Salary: $150,000 - $154,000/ yr. w2

JN -

Responsibilities:

• 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 Dev Ops activities.

• Partner with data scientists and analysts to deliver effective data solutions.

• Develop data validation and data analysis tools.

Experience Requirements:

• 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:
  Ability to work independently and proactively.

• Preferred:
  Experience optimizing ETL workflows in Databricks.

• Preferred:
  Knowledge of data lineage and data quality practices.

• Preferred:
  Experience supporting data science and machine learning solutions.

• Preferred:
  Prior experience in the energy or utility industry.

Education Requirements:

• Bachelor’s degree in computer science, information technology, or a related field.

• Preferred:
  Master’s degree in a relevant STEM field.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Aff