Data Science / Data Engineering Support Engineer
Washington, DC
Experience: 5
Education: BA
Category: Information Technology
Contractor Work Model: Onsite
Brand: System One
Compensation Range: 53.00 - 60.00 Per Hour
Job ID: 381599
Date Posted: 10/07/2026
Shortcut: http://jobs.systemone.com/Uh5bTg
Job Title: Data Science / Data Engineering Support Engineer
Role Type: 6 + months contract – good possibility of extensions and/or perm rollover
Location: Washington, DC (5 Days a week onsite)
Clearance Requirements: Must be able to obtain and maintain a Public Trust
We are seeking a Data Scientist / Data Engineer to support data science and engineering tools, platforms, and infrastructure. This is a technical support and troubleshooting role—not a software development or data science SME position. The ideal candidate understands how data science and engineering tools are used, can troubleshoot issues across the environment, and can work effectively with data, infrastructure, and engineering teams.
Key Responsibilities
- Support and troubleshoot data science, data engineering, and analytics tools and platforms.
- Troubleshoot data processing, analytical workflows, applications, and infrastructure issues.
- Support Linux-based environments and assist with configuration, connectivity, performance, and environment-related issues.
- Work with data scientists, engineers, and infrastructure teams to identify and resolve technical issues.
- Support tools such as Databricks, RStudio, and comparable data platforms; specific tool experience is transferable.
- Apply working knowledge of data science and data engineering concepts to diagnose and resolve issues.
- Assist with data pipelines, processing workflows, and cloud-based data environments.
- Document issues, troubleshooting steps, and resolutions.
- Escalate complex application or infrastructure issues when appropriate.
- Bachelor's degree in Computer Science, Data Science, Engineering, IT, or related field.
- 3+ years of experience supporting or working with data science, data engineering, analytics, or related technical environments.
- Linux experience required.
- Working knowledge of data science/data engineering concepts and workflows.
- Familiarity with R/RStudio, Databricks, or comparable tools.
- Cloud experience (AWS or Azure) preferred.
- Basic knowledge of SQL, Python, or similar data technologies is helpful; extensive coding/programming is not required.
- Strong troubleshooting, analytical, and communication skills.
- Ability to understand technical documentation, logs, configurations, and system behavior.
- Must be authorized to work in the U.S. without future sponsorship.
- Ability to obtain and maintain Public Trust clearance.
System One, and its subsidiaries including Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
#LI-CB5
Ref: #851-Rockville-S1
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⚠️ Protecting Job Seekers from Identity Scams
At System One, your privacy and security are important to us. As job-related scams continue to target job seekers, we want to help you recognize and avoid common recruitment fraud. Identity theft scams often involve individuals, also known as "scammers," posing as recruiters or employers to obtain sensitive personal information, such as Social Security numbers, bank account details, or copies of driver’s licenses, with the goal of stealing identities, accessing financial accounts, or creating fraudulent accounts in a victim’s name.