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Added 12 mins ago
AT
Machine Learning Senior Software Engineer
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- $121,400 to $218,600 USD / year
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Added 12 mins ago
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Added 13 mins ago
EG
Databricks Data Engineer
Eliassen Group
Pierre, SD
- $150,000 to $154,000 USD / year
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…
Added 16 mins ago
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Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Augusta, ME
- $150,000 to $154,000 USD / year
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…
Added 1 hour ago
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Databricks Data Engineer
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- $150,000 to $154,000 USD / year
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Added 1 hour ago
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Databricks Data Engineer
Eliassen Group
Baton Rouge, LA
- $150,000 to $154,000 USD / year
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Added 1 hour ago
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Databricks Data Engineer
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- $150,000 to $154,000 USD / year
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Added 1 hour ago
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Added 1 hour ago
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Added 1 hour ago
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Databricks Data Engineer
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- $150,000 to $154,000 USD / year
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Added 1 hour ago
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Databricks Data Engineer
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Honolulu, HI
- $150,000 to $154,000 USD / year
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Added 2 hours ago
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Added 2 hours ago
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Databricks Data Engineer
Eliassen Group
Tallahassee, FL
- $150,000 to $154,000 USD / year
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…

Eliassen Group

Databricks Data Engineer

Pierre, SD, United States

$150,000 to $154,000 USD / year

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Job details

Pay: $150,000 to $154,000 USD / year
Posting language: English
Posted: Nov 7, 2026

Original job description

Databricks Data Engineer

Anywhere

Type: Permanent

Category: Development

Industry: Energy

Workplace Type: Remote

Standard Hours: Open

Reference ID: JN -112026-109290

Date Posted: 11/01/2026

Shortcut: http://careers.eliassen.com/OC6dSU

Description
Recommended Jobs

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 -112026-109290

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 DevOps 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.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( noreply@eliassen.com , 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

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.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com .

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 Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

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More about this job

Skills

Databricks
AWS
Python
Apache Spark
PostgreSQL
Data engineering
Troubleshoot
Research
Business intelligence
Software development
DevOps
Data analysis
SQL
Communication skills
Collaboration
Problem solving
Jira
Git
Docker
Jenkins
Process improvement
Work independently
Machine learning
Computer science
Computer technology
Recruitment
Google Gmail

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