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Databricks Internships Jobs in Washington (NOW HIRING)

Standvast Fulfillment

Senior Data Engineer

Columbia, MD · On-site

$103K - $140K/yr

Required : • 5+ years of professional, non-internship experience as a data engineer • Production experience with Databricks, Snowflake, or BigQuery platforms • Senior-level experience with ...

Spire

Software Engineer - RFGL Systems

Washington, DC · Hybrid

$195K - $232K/yr

... academic + internship/project work for strong early-career candidates) * Demonstrated hands-on ... Background with big data systems, pipelines, or tools (e.g., Spark, Kafka, Databricks, S3-based ...

Thinkbrg

Fall 2027 Advisory Associate

Washington, DC · On-site

... internships. * Technical Skills: Proficiency in Excel is required; experience with MS SQL Server, R, Python, Stata, SAS, Tableau, Snowflake, Alteryx, Databricks, or Teradata is highly desirable. The ...

Spire

Software Engineer - RFGL Systems

Vienna, VA · Hybrid

$90K - $130K/yr

... academic + internship/project work for strong early-career candidates) * Demonstrated hands-on ... Background with big data systems, pipelines, or tools (e.g., Spark, Kafka, Databricks, S3-based ...

Spire

Software Engineer - RFGL Systems

Washington, DC · On-site

$90K - $130K/yr

... academic + internship/project work for strong early-career candidates) * Demonstrated hands-on ... Background with big data systems, pipelines, or tools (e.g., Spark, Kafka, Databricks, S3-based ...

ECS

Data Engineer with Security Clearance

Fairfax, VA · On-site

$145K - $160K/yr

Prior internship, academic project, or professional experience supporting data engineering or ... Databricks SQL, or Grafana. * Experience with or strong interest in designing semantic data ...

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Databricks Internships information

What is a Databricks internship?

Databricks internships are structured programs that offer students and recent graduates the opportunity to gain hands-on experience working with data engineering, machine learning, and cloud technologies at Databricks. Interns typically work on real-world projects alongside experienced engineers, data scientists, and business professionals. These internships provide mentorship, training, and networking opportunities, and are a valuable way to learn about the tech industry and Databricks’ culture. They are available in a variety of roles, including software engineering, product management, and data science.

What types of projects and responsibilities can a Databricks intern expect during their internship?

Databricks interns typically work on impactful, real-world projects alongside full-time engineers or data scientists. You may contribute to product features, optimize data pipelines, or help improve machine learning models, depending on your team placement. Interns are encouraged to collaborate cross-functionally, participate in code reviews, and attend team meetings, gaining exposure to agile development practices and cloud technologies. This hands-on experience fosters strong technical growth and provides valuable insight into fast-paced, collaborative tech environments.

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

To thrive as a Databricks Intern, you should have a solid background in computer science, programming (especially Python, Scala, or SQL), and data analytics, often supported by relevant coursework or project experience. Familiarity with big data platforms like Apache Spark, cloud services (AWS, Azure), and version control systems such as Git is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and grow within diverse technical teams. These skills and qualities are crucial for contributing to real-world data projects and maximizing the learning experience during the internship.

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

AspectDatabricks InternshipsData Engineer Internships
Required SkillsKnowledge of Spark, cloud platforms, programming (Python, Scala)Data pipeline development, SQL, cloud services, programming (Python, Java)
Work EnvironmentCollaborative, tech-focused, cloud-based platformsData processing, database management, cloud infrastructure
Industry UsageTech companies using Databricks platformOrganizations managing large-scale data systems

Databricks Internships typically focus on working with the Databricks platform, Spark, and cloud-based data solutions. Data Engineer Internships involve building and maintaining data pipelines, working with databases, and cloud infrastructure. Both roles require programming skills and familiarity with cloud services, but Databricks Internships are more platform-specific, while Data Engineer Internships cover broader data engineering tasks.

How to get a job at Databricks?

To get a job at Databricks, candidates should have strong skills in data engineering, cloud computing, and programming languages like Python or Scala. Relevant experience with big data tools such as Apache Spark and a solid understanding of machine learning concepts can improve chances. Applying through the company's careers page and preparing for technical interviews are essential steps.

What are popular job titles related to Databricks Internships jobs in Washington?

For Databricks Internships jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Databricks Internships jobs in Washington look for?

The top searched job categories for Databricks Internships jobs in Washington are:

What cities in Washington are hiring for Databricks Internships jobs?

Cities in Washington with the most Databricks Internships job openings:

Databricks Internships jobs near you
Infographic showing various Databricks Internships job openings in Washington as of August 2026, with employment types broken down into 14% Internship, 1% As Needed, 67% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 5% Hybrid, and 3% Remote job distribution.

Senior Data Engineer

Standvast Fulfillment

Columbia, MD • On-site

$103K - $140K/yr

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Standvast Fulfillment is a modern, tech-driven third-party logistics provider that engineers solutions across the entire supply chain. They are seeking a Senior Data Engineer to build high-quality solutions, mentor junior engineers, and maintain operational excellence while collaborating with product managers and business teams.
Responsibilities:
• Be a sought-after technical partner who works with product managers and business teams to understand problems and propose solutions
• Build high quality solutions that implement engineering best practices
• Mentor junior data engineers and analysts, leading by example
• Maintain high operational excellence, participating in the team on-call support rotation and constantly improving our systems
Qualifications:
Required:
• 5+ years of professional, non-internship experience as a data engineer
• Production experience with Databricks, Snowflake, or BigQuery platforms
• Senior-level experience with engineering practices (CI/CD, testing, monitoring, and metrics analysis)
• Highly proficient in Spark, SQL, Python (will be tested)
• Be able to travel to one of our warehouse locations 2-3 times per year
• BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Authorized to work in the United States for any employer
• Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of employment Visas at this time.
Preferred:
• Experience setting up ML environments for data science experiments
Company:
Standvast was a modern, tech-driven third-party logistics provider (3PL). As of May 2025, Standvast officially ceased all operations. Founded in 2017, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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