
Databricks Data Engineer
Remote · USFull-time$150–154K/yrPosted 1w agoSeen in employer's feed today
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Requirements
Credentials this posting asks for.
Job overview
The Databricks Data Engineer will design and maintain data pipelines, infrastructure, and systems supporting client services and SaaS solutions. The role partners with engineers, data scientists, and analysts to deliver data products and support internal data practices. This is a full-time, permanent remote opportunity requiring W2 work, with a stated salary range of $150,000–$154,000 per year.
Skills & qualifications
Skills
Qualifications
Benefits
Full 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
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Description
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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:
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Design, develop, and maintain data pipelines, infrastructure, and systems using AWS, Python, Databricks, Spark, and PostgreSQL.
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Collaborate with cross-functional teams to translate business requirements into technical solutions.
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Provide technical guidance and mentorship to junior data engineers.
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Develop and implement data engineering standards and best practices.
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Monitor and troubleshoot data pipelines to ensure data quality, integrity, and availability.
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Research industry trends and evaluate new data technologies.
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Build and maintain data lakes to support analytics and business intelligence.
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Manage the software development life cycle and DevOps activities.
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Partner with data scientists and analysts to deliver effective data solutions.
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Develop data validation and data analysis tools.
Experience Requirements:
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Five or more years of experience in data engineering or a related role.
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Expert proficiency in Python, SQL, Databricks, and Spark.
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Experience building cloud-based data pipelines in AWS.
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Knowledge of data governance, security, privacy, and retention practices.
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Strong communication, collaboration, and problem-solving skills.
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Experience working in agile environments using tools such as Jira.
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Proficiency with Git, Docker, and CI tools such as Jenkins.
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Passion for data and continuous improvement.
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Preferred: Ability to work independently and proactively.
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Preferred: Experience optimizing ETL workflows in Databricks.
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Preferred: Knowledge of data lineage and data quality practices.
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Preferred: Experience supporting data science and machine learning solutions.
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Preferred: Prior experience in the energy or utility industry.
Education Requirements:
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Bachelor’s degree in computer science, information technology, or a related field.
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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 ( [email protected] , 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 [email protected] .
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!
How this job compares
Set against the 6,430 open Data Engineer jobs on Olive Jobs, counted November 8, 2026.
- Pay
- This posting$150–154K/yr
- South Dakota median$115–190K/yr21 salary ranges
- US median$125–208K/yr4,990 salary ranges
This range's midpoint, $152K, is close to the South Dakota median midpoint ($153K) — in the middle half of Data Engineer salary ranges in South Dakota.
- Openings
- Olive Jobs lists 24 open Data Engineer jobs in South Dakota and 6,430 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,614 postings).
- Education
- This posting asks for a bachelor's degree; 2,510 of the 6,430 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 8, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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