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Internship Azure Databricks Jobs in Washington (NOW HIRING)

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... AWS, Azure) or hybrid data environments * Demonstrated hands-on experience with Databricks ... internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... AWS, Azure) or hybrid data environments * Demonstrated hands-on experience with Databricks ... internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

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Internship Azure Databricks information

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 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.
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Internship Azure Databricks jobs near you
Infographic showing various Internship Azure Databricks job openings in Washington as of June 2026, with employment types broken down into 67% Full Time, 25% Part Time, 2% Temporary, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

WBG Pioneer - AIDataEngineerIntern

The World Bank Group

Washington, DC

Other

Posted 22 days ago

Job description

Every World Bank-financed project depends on systems that track how money is spent, how risk is managed, and how communities are protected. ITSFD builds those systems-this internship is a chance to work on them directly.

Background/Organizational Context

The World Bank Group (WBG) finances development projects across the globe through three distinct institutions, the International Bank for Reconstruction and Development and the International Development Association (IBRD/IDA), the International Finance Corporation (IFC), and the Multilateral Investment Guarantee Agency (MIGA). The Information and Technology Solutions (ITS) Vice Presidency of the World Bank Group delivers a wide portfolio of technology products and services that enable the WBG's development mission. Within ITS, the Fiduciary Operations unit (ITSFD) is responsible for digital solutions that support Procurement, Financial Management, and Environmental and Social Safeguards across World Bank operations. 

About the Team: Financial Management

The Financial Management team sits within ITS Fiduciary Operations (ITSFD), the unit responsible for providing digital Procurement, Financial Management, and Safeguards tools that support Bank operations. The Financial Management team builds and maintains the digital systems that help World Bank staff and borrowers ensure compliance with financial audits and fiduciary requirements across Bank-financed projects. 

Interns will learn how digital tools support fiduciary compliance and financial oversight across the project lifecycle, working alongside experienced fiduciary and product specialists. They'll build practical skills in requirements analysis, applied AI/ML, or data engineering and reporting, depending on their track.

Duties and Responsibilities
  • Design, develop, and maintain scalable enterprise data platforms and pipelines using Microsoft Azure and Microsoft Fabric services. 
  • Strong hands-on experience with SQL, ETL/ELT design, data transformation, and orchestration frameworks. 
  • Develop and maintain application components and APIs using .NET Core, ASP.NET, C#, Web APIs, and microservices architectures, including APIs that expose or consume data from Dynamics 365 and SharePoint. 
  • Develop Lakehouse-based data solutions using Azure Databricks, Microsoft Fabric, Azure Data Lake Storage (ADLS Gen2), and Apache Spark/PySpark. 
  • Collaborate with cross-functional stakeholders (business, analytics, product, and compliance teams) to understand requirements and translate them into technical solutions.

Apply