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Summer Databricks Jobs in Virginia (NOW HIRING)

SAIC

Data Support Team Lead

Arlington, VA · On-site +1

... expected in Spring/Summer 2026. Positions are contingent pending contract award. Place of ... Specialize in scalable architectures like Databricks Medallion Architecture, data agreements, and ...

SAIC

Data Support Team Lead

Arlington, VA · On-site

... expected in Spring/Summer 2026. Positions are contingent pending contract award. Place of ... Specialize in scalable architectures like Databricks Medallion Architecture, data agreements, and ...

SAIC

Data Support Team Lead

Arlington, VA · On-site

... expected in Spring/Summer 2026. Positions are contingent pending contract award. Place of ... Specialize in scalable architectures like Databricks Medallion Architecture, data agreements, and ...

SAIC

Big Data Engineer Senior

Arlington, VA · On-site

$64.25 - $85/hr

... expected in Spring/Summer 2026. Positions are contingent pending contract award. Place of ... Proven experience building and managing data pipelines on the Databricks Lakehouse Platform ...

SAIC

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $84.75/hr

... expected in Spring/Summer 2026. Positions are contingent pending contract award. Place of ... Databricks Certified Apache Spark Developer.

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Summer Databricks information

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

To excel as a Databricks Data Engineer, you need a solid background in data engineering, programming (Python, Scala, or SQL), and experience with big data platforms, usually backed by a relevant degree. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and certifications such as Databricks Certified Data Engineer are highly valued. Strong problem-solving, communication, and collaboration skills help you work effectively in cross-functional teams and deliver scalable data solutions. These competencies are crucial for building efficient data pipelines and driving data-driven decision-making in organizations.

What types of projects do interns typically work on during a Summer Databricks internship?

As a Summer Databricks intern, you will often work on impactful projects that contribute directly to the company's products and services. Interns may collaborate with full-time engineers and data scientists on tasks such as optimizing data pipelines, building new features for the Databricks platform, or improving machine learning workflows. You'll also have opportunities to participate in code reviews, team meetings, and cross-functional collaborations, providing valuable exposure to real-world software development practices and team dynamics.

What is the difference between Summer Databricks vs Summer Data Engineer?

AspectSummer DatabricksSummer Data Engineer
Required SkillsExperience with Databricks platform, Spark, SQL, PythonKnowledge of data pipelines, SQL, Python, cloud platforms
Work EnvironmentCollaborative team using Databricks for data analyticsDesigning and building data pipelines in cloud environments
Industry UsageTech, finance, healthcare companies leveraging DatabricksOrganizations managing large-scale data infrastructure

Both roles focus on data processing and analytics, with Summer Databricks emphasizing expertise in the Databricks platform and Spark, while Summer Data Engineer centers on building and maintaining data pipelines across cloud environments. The choice depends on specific technical skills and project focus.

What are Summer Databricks internships?

Summer Databricks internships are temporary, full-time positions offered to students or recent graduates during the summer months at Databricks, a company known for its unified analytics and data engineering platform. Interns typically work on real-world projects related to big data, machine learning, and cloud computing, gaining hands-on experience with Databricks' technologies. These internships provide mentorship, networking opportunities, and a chance to contribute to impactful projects, often leading to career opportunities in data engineering and analytics.
What are the most commonly searched types of Databricks jobs in Virginia? The most popular types of Databricks jobs in Virginia are:
What are popular job titles related to Summer Databricks jobs in Virginia? For Summer Databricks jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Summer Databricks jobs in Virginia look for? The top searched job categories for Summer Databricks jobs in Virginia are:
What cities in Virginia are hiring for Summer Databricks jobs? Cities in Virginia with the most Summer Databricks job openings:
Summer Databricks jobs near you
Data Support Team Lead

Data Support Team Lead

SAIC

Arlington, VA • On-site, Remote

Full-time

Posted 20 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

69th of 205 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. 

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