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Internship Azure Databricks Jobs in Washington, DC

Navy Federal Credit Union

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

It requires hands-on expertise with Microsoft Foundry, Azure AI services, Databricks Mosaic AI ... Yello and WayUp Top 100 Internship Programs * Computerworld Best Places to Work in IT * Newsweek ...

Capital One

Lead Software Engineer

Mclean, VA · On-site

At least 4 years of experience in software engineering (Internship experience does not apply) * At ... Azure, Google Cloud) Preferred Qualifications: * Master's Degree * 7+ years of experience in at ...

Capital One

Lead Software Engineer

Mclean, VA · On-site

At least 4 years of experience in software engineering (Internship experience does not apply) * At ... Azure, Google Cloud) Preferred Qualifications: * Master's Degree * 7+ years of experience in at ...

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All JobsAzure Databricks JobsInternship Azure Databricks JobsInternship Azure Databricks Jobs in Washington, DC

Internship Azure Databricks information

See Washington, DC salary details

$15

$28

$43

How much do internship azure databricks jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship azure databricks in Washington, DC is $28.79, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $32.69 per hour, depending on experience, location, and employer.

What is an Azure Databricks internship?

An Azure Databricks internship is a temporary, hands-on role for students or recent graduates to gain practical experience working with Azure Databricks, a cloud-based data analytics platform. Interns typically assist with data engineering, data analytics, or machine learning projects using tools such as Apache Spark within the Azure environment. The internship helps participants develop technical skills, learn about big data processes, and contribute to real-world business solutions under the guidance of experienced professionals.

What are the key skills and qualifications needed to thrive as an Azure Databricks intern?

To thrive as an Azure Databricks Intern, you need a solid understanding of data analytics, programming (especially Python or Scala), and foundational knowledge of cloud computing concepts. Familiarity with Databricks, Azure cloud services, SQL, and possibly certifications like Microsoft Azure Fundamentals are typically beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate with teams and adapt quickly in a fast-paced environment. These skills enable you to efficiently process and analyze data, contribute to projects, and make the most of your internship experience.

What are some common challenges faced during an Azure Databricks internship, and how can I prepare for them?

As an Azure Databricks intern, you may encounter challenges such as learning to navigate the Databricks workspace, understanding distributed data processing with Spark, and collaborating across multidisciplinary teams. To prepare, it's helpful to familiarize yourself with cloud computing basics, Python or Scala programming, and foundational data engineering concepts. You'll often work closely with data engineers and analysts, so strong communication and a willingness to ask questions are key to overcoming initial hurdles and making the most of your learning experience.

What is the difference between Internship Azure Databricks vs Data Engineer Intern?

AspectInternship Azure DatabricksData Engineer Intern
Required SkillsAzure, Databricks, SQL, PythonSQL, Python, ETL, Cloud platforms
Work EnvironmentCloud-based, data analytics projectsData pipelines, database management
CertificationsAzure certifications beneficialBasic data engineering certifications helpful

Internship Azure Databricks focuses on working with the Databricks platform on Azure for data analytics, while Data Engineer Interns work on building data pipelines and managing data infrastructure. Both roles require knowledge of SQL and Python, but Azure Databricks emphasizes cloud-based analytics, making it ideal for those interested in cloud data solutions.

What are the most commonly searched types of Azure Databricks jobs in Washington, DC?

The most popular types of Azure Databricks jobs in Washington, DC are:

What are popular job titles related to Internship Azure Databricks jobs in Washington, DC?

For Internship Azure Databricks jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Internship Azure Databricks jobs in Washington, DC look for?

The top searched job categories for Internship Azure Databricks jobs in Washington, DC are:

Internship Azure Databricks jobs near you
Infographic showing various Internship Azure Databricks job openings in Washington, DC as of July 2026, with employment types broken down into 86% Full Time, 5% Part Time, and 9% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $59,877 per year, or $28.8 per hour.

Data Engineer Analyst (WDP)

Bespoke Technologies, Inc

Chantilly, VA • On-site

Full-time

Re-posted 2 days ago

Job description

BT-156 - Data Engineer Analyst (WDP)
Skill Level: Entry/Junior
Location: Chantilly/Herndon
**MUST HAVE AN ACTIVE TS OR TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.**
Role Description:
This is an entry-level opportunity to begin your career as a Data Engineer. As a Junior Analyst, you will learn the fundamentals of building and maintaining large-scale data pipelines on a government data platform. You will work alongside senior engineers, assisting with development, monitoring systems, and helping to ensure the quality and reliability of our data. This role is ideal for a motivated individual with a foundational understanding of data concepts and a strong desire to learn and grow.
Responsibilities:
  • Assist senior engineers in the development and maintenance of data pipelines.
  • Support the operations of existing pipelines by monitoring their performance and responding to alerts under supervision.
  • Execute pre-defined scripts and processes for data ingestion and transformation.
  • Help run data quality checks and document the results.
  • Participate in team meetings and Agile/Scrum ceremonies, learning the development lifecycle.
  • Contribute to the creation and upkeep of technical documentation for data processes.

Required Qualifications:
  • 0-2 years of experience or relevant internship experience in a technical or data-related field.
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • Basic knowledge of SQL and at least one scripting language (Python preferred).
  • A foundational understanding of data concepts (e.g., databases, ETL).
  • Strong problem-solving skills and a proactive willingness to learn new technologies.
  • Experience with cloud data platforms (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
  • A foundational understanding of metadata management and data governance concepts.

Preferred Qualifications:
  • Hands-on experience developing integrations for an enterprise data catalog platform (e.g., Collibra, Alation).
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect).
  • Familiarity with Infrastructure-as-Code (e.g., Terraform).
  • Exposure to streaming data technologies (e.g., Kafka).

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