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Internship Azure Data Engineer Jobs in Virginia (NOW HIRING)

PCA Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Senior Data Engineer

Mclean, VA

$107K - $145K/yr

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent ...

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent ...

Data Engineer

Mclean, VA

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse ...

Agentic Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Agentic Data Engineer Location - Richmond, VA Interview Type: Both Phone and In Person Work Type ... Experience with cloud AI services (Azure AI). * Designing and developing data pipelines for agentic ...

Data Engineering Lead- Finance

Richmond, VA · On-site

$113K - $136K/yr

Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with ...

Showing results 21-40

Internship Azure Data Engineer information

What does an internship Azure Data Engineer do?

An Internship Azure Data Engineer assists in designing, building, and maintaining data solutions using Microsoft Azure technologies. Responsibilities typically include working with data pipelines, cloud databases, and tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Interns often help with data integration, transformation, and storage tasks, as well as collaborating with senior engineers and stakeholders to support data-driven projects. This role provides valuable exposure to cloud computing, big data, and the practical application of data engineering concepts.

What kinds of projects and technologies can I expect to work with during an internship Azure Data Engineer?

As an Azure Data Engineer intern, you'll typically gain hands-on experience with cloud data solutions, such as building and managing data pipelines using Azure Data Factory, integrating data sources with Azure Databricks or Synapse Analytics, and working with Azure SQL databases. Interns often participate in real-world projects like data migration, data cleansing, and developing dashboards for business insights. You will likely collaborate closely with data scientists, software developers, and business analysts, learning best practices for data security, scalability, and performance in a cloud environment.

What are the key skills and qualifications needed to thrive as an internship Azure Data Engineer, and why are they important?

To thrive as an Internship Azure Data Engineer, you need a solid understanding of data management concepts, SQL, and a background in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI is typically required, along with a willingness to pursue certifications like Microsoft Certified: Azure Data Engineer Associate. Strong analytical thinking, problem-solving skills, and effective teamwork set candidates apart in this role. These skills are essential to efficiently design, implement, and maintain data solutions that support business intelligence and decision-making in cloud environments.

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

AspectInternship Azure Data EngineerData Analyst Intern
Required CredentialsBasic knowledge of Azure, SQL, and data engineering conceptsBasic understanding of data analysis, Excel, and SQL
Work EnvironmentCloud platforms, data pipelines, and database managementData visualization, reporting, and data interpretation
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, marketing, finance sectors, and consulting firms

Internship Azure Data Engineer roles focus on cloud-based data pipeline development and management using Azure tools, while Data Analyst Internships emphasize data interpretation and reporting. Both roles are entry-level, often require SQL knowledge, and serve data-driven industries, but they differ in technical focus and daily tasks.

What are the most commonly searched types of Azure Data Engineer jobs in Virginia?

The most popular types of Azure Data Engineer jobs in Virginia are:

What job categories do people searching Internship Azure Data Engineer jobs in Virginia look for?

The top searched job categories for Internship Azure Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Internship Azure Data Engineer jobs?

Cities in Virginia with the most Internship Azure Data Engineer job openings:

Infographic showing various Internship Azure Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer - Fulltime - Arlington, VA - Fulltime

Rootshell Enterprise Technologies, Inc.

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Re-posted 20 days ago


Job description

Position: Data Engineer with Azure and Data Bricks
Location: Arlington, VA (5 days on site)
Job Type: Full-Time
Need Locals
Top 3 Skills:
  • 8+ years of data engineering experience using Azure and Data Bricks
  • Experience building infrastructure and CI/CD pipelines
  • Experience working directly with the business to gather requirements

Job Description:
Position Responsibilities:
Key Responsibilities and Essential Duties:
  • Build complex data solutions in an Azure Cloud environment.
  • Maintain the Azure components and services.
  • Develop architecture changes using infrastructure as code.
  • Create data architectures diagrams for complex data modeling solutions.
  • Create and maintain data dictionaries for contextualizing data from disparate sources.
  • Enable end-to-end automation for deployment using continuous integration and continuous delivery.
  • Implement data pipelines to ingest data to the platform, standardize the data, and transform the data into business facing datasets.
  • Perform unit and integration testing of data pipelines.
  • Perform data integration at scale with Azure Data Factory.
  • Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics.
  • Work with BI developers and business SMEs to translate business requirements into curated datasets suitable for analytics solutions.
  • Document data pipelines for maintainability.
  • Work with source system owners and business owners to incorporate business changes into data pipelines.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Job Qualifications
  • Bachelor's degree in computer science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • 2+ years in cloud architecture and data engineering
  • Extensive experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure)
  • Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions.
  • Understanding of parallel processing and data architecture patterns.
  • Knowledgeable in data processing languages such as SQL, Python, or Spark.
  • Experience in building secure data processing pipelines using Azure data services.
  • Ability to self-manage and make your own decisions.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.
  • Preferred Qualifications
  • Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git
  • Experience in coding languages primarily Python and Spark.
  • Experience in agile development and sprint planning.
  • Strong technical writing skills.