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Remote Databricks Jobs in Washington (NOW HIRING)

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Experience working with Databricks and/or Spark-based environments for scalable data processing.

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Experience working with Databricks and/or Spark-based environments for scalable data processing.

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Experience working with Databricks and/or Spark-based environments for scalable data processing.

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Experience working with Databricks and/or Spark-based environments for scalable data processing.

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Experience working with Databricks and/or Spark-based environments for scalable data processing.

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Experience working with Databricks and/or Spark-based environments for scalable data processing.

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Experience working with Databricks and/or Spark-based environments for scalable data processing.

Lovelytics

Senior Consultant, Data Engineer

Arlington, VA · On-site +1

$90K - $125K/yr

Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role ... This role is open to remote candidates in the US. This role is not open for work sponsorship at ...

Sparibis

Power Apps Developer

Washington, DC · On-site +1

Location: 100% Remote Years' Experience: 9+ years Professional Experience Education: Bachelor ... Databricks. * Transform data sources into data tables within tools to include Powers Apps and ...

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Remote Databricks information

What are the key skills and qualifications needed to thrive as a Remote Databricks Engineer, and why are they important?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are remote Databricks jobs?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.
What are the most commonly searched types of Databricks jobs in Washington? The most popular types of Databricks jobs in Washington are:
What are popular job titles related to Remote Databricks jobs in Washington? For Remote Databricks jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Databricks jobs in Washington look for? The top searched job categories for Remote Databricks jobs in Washington are:
What cities in Washington are hiring for Remote Databricks jobs? Cities in Washington with the most Remote Databricks job openings:
Remote Databricks jobs near you
Infographic showing various Remote Databricks job openings in Washington as of July 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution.
Data Scientist

Data Scientist

System One

Mclean, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description

Job Title: Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model: Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
  • Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
  • Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
  • Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.
  • Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
  • Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.
  • Support development of analytics, reporting, and dashboards to drive operational insights and decision-making.
  • Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders.
  • Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities.
REQUIREMENTS
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • A minimum of 4 years of experience in data science, machine learning, or applied analytics roles.
  • U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
  • Experience developing and applying machine learning models, including: Natural Language Processing (NLP), Semantic search or information retrieval, Entity resolution or relationship modeling.
  • Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images).
  • Experience leveraging metadata and extracted features to support analytics and modeling.
  • Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills.
  • Experience working with Databricks and/or Spark-based environments for scalable data processing.
  • Familiarity with AWS cloud services for data access, processing, or model deployment.
  • Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets.
  • Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms).
  • Understanding of model evaluation, validation, and performance metrics.
  • Strong communication skills and ability to translate analytical outputs into actionable insights.
  • Experience working in cross-functional, matrixed teams in an Agile environment.

System One, and its subsidiaries including Joulé and 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. #M1 #LI-CD1 Ref: #851-Rockville-S1