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Remote Databricks Data Engineer Jobs in Virginia

SAIC

Data Support Team Lead

Arlington, VA · On-site +1

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... Databricks Certified Data Engineer Associate. * Databricks Certified Data Engineer Professional.

Shift5

$130K - $170K/yr

Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

Shift5

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

IMAGINEEER LLC

Data Engineer

Arlington, VA · On-site +1

$130K - $157K/yr

Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure ... Experience with lakehouse platforms (Databricks, Snowflake, or similar) * Experience implementing ...

Redhorse Corporation

Junior Data Engineer

Arlington, VA · On-site +1

Key Responsibilities * Assist in the design and development of ETL/ELT workflows using Databricks ... Work closely with other data engineers and product teams to translate basic business needs into ...

VivSoft Technologies LLC

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$122K - $147K/yr

Ability to work independently and collaboratively in a remote team environment. Preferred Qualifications * Certification in relevant data engineering technologies. * Experience working with the ...

kgs

Data Engineer/Data ProjectLead (REMOTE)

Chantilly, VA · Remote

$117K - $140K/yr

Koniag Professional Services LLC, a Koniag Government Services company , is seeking a Data Engineer/Data ProjectLeadto support KPS and our government customer. The position is remote. This position ...

Info Gain Consulting

Data Engineer

Alexandria, VA · On-site +1

$122K - $147K/yr

Ability to work independently and collaboratively in a remote team environment. Preferred Qualifications * Certification in relevant data engineering technologies. * Experience working with the ...

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Remote Databricks Data Engineer information

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are the most commonly searched types of Databricks Data Engineer jobs in Virginia? The most popular types of Databricks Data Engineer jobs in Virginia are:
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Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Support Team Lead

Data Support Team Lead

SAIC

Arlington, VA • On-site, Remote

Other

Posted 13 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 204 rated it services

Job description

Job ID: 2613398
Location: Arlington, VA, US
Date Posted: 2026-06-05
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: TS.SCI
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_ON_SITE
Description
SAIC is seeking qualified applicants to support a cutting-edge data, analytics, and AI platform. Roles include managing customer relationships, service portfolio and catalog management, software engineering & development, data/AI engineering, IT systems operations, and use case intake and analytics for DoW enterprise-scale mission objectives expected in Spring/Summer 2026.
Positions are contingent pending contract award.
Place of Performance: The work will be performed in the Washington, DC Metropolitan Area (WDCMA). Some work may be performed remotely, subject to Government approval.
Job Responsibilities:
  • Provide Subject Matter Expertise in data engineering, solution architecture, and data operations, focused on enabling seamless data ingestion, transformation, and delivery while interfacing directly with stakeholders throughout the Data Lifecycle Management.
  • Specialize in scalable architectures like Databricks Medallion Architecture, data agreements, and repeatable processes to rapidly build and manage data pipelines.
  • Use deep expertise in data policy, compliance, and agentics to ensure efficient, secure, and scalable data operations, delivering value to users at scale.
  • Design and develop solutions to complex applications problems, system administration issues, or network concerns.
  • Perform systems management and integration functions.

Qualifications
  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • TS/SCI Clearance is required.

Knowledge, Skills, Abilities, and Competencies:
  • Expertise in leading technical teams in data engineering, including data ingestion, transformation, and delivery processes.
  • Expertise in data engineering, including data ingestion, transformation, and delivery processes.
  • Ability to architect scalable data solutions using frameworks such as Databricks Medallion Architecture.
  • Strong understanding of data policy, compliance requirements, and secure data operations.
  • Proficiency in designing and developing solutions for complex application, system administration, and network issues.
  • Experience with systems management and integration functions.
  • Effective stakeholder communication and collaboration throughout the data lifecycle.
  • Capability to implement repeatable processes for building and managing data pipelines.
  • Analytical and problem-solving skills for addressing technical challenges.

Preferred Certifications:
  • The following certifications are considered a plus:
    • AWS
      • AWS Certified Data Engineer - Associate.
      • AWS Certified Solutions Architect - Associate or Professional.
      • AWS Certified Security - Specialty.
    • Databricks
      • Databricks Certified Data Engineer Associate.
      • Databricks Certified Data Engineer Professional.
      • Databricks Certified Apache Spark Developer.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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