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Internship Azure Databricks Jobs (NOW HIRING)

Campbell Soup Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake)

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake)

HUB

Master Data Management Engineer

Atlanta, GA

$110K - $132K/yr

... interns in close coordination with team Managers and Directors QUALIFICATIONS (REQUIRED AND ... DB, Azure Logic Apps, Azure Analysis Services, and Azure Databricks; experience with GCP ...

Arizona State Hospital

Job Page

Phoenix, AZ · On-site

$90K - $105K/yr

... and internship opportunities, AHCCCS offers meaningful career opportunities in a competitive ... and Azure Databricks. Integrate legacy systems including Informatica PowerCenter/IICS for ETL ...

The Campbell?s Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake)

UST HealthProof

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... • Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or ... Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming). • Exposure to AI/ML ...

The Campbell?s Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake)

CyberProof

Associate Data Engineer

Seattle, WA · On-site

... • Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or ... Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming). • Exposure to AI/ML ...

UST

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... • Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or ... Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming). • Exposure to AI/ML ...

The Campbell?s Company

Data Engineer, DA&AI Co-Op

Camden, NJ · On-site

$115K - $138K/yr

This co-op / internship offers hands-on experience at the forefront of Generative AI and automation ... Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake)

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Internship Azure Databricks information

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How much do internship azure databricks jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for internship azure databricks in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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, and why are they important?

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.

Is Azure Databricks in demand?

Azure Databricks skills are highly in demand as organizations increasingly adopt cloud-based data analytics and machine learning solutions. Professionals with expertise in Azure, Spark, and data engineering are sought after for roles involving big data processing and AI development.

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.

Does Databricks hire interns?

Databricks offers internship programs, including roles related to Azure Databricks, for students and early-career professionals. Internships typically involve hands-on experience with cloud-based data analytics, Spark, and machine learning tools, and are often available during summer or semester periods. Applicants usually need relevant technical skills and may be required to apply through the company's careers portal or university recruiting channels.

Is Databricks a high paying job?

An internship involving Azure Databricks typically offers lower compensation compared to full-time data engineering or data science roles, but it can provide valuable industry experience and skill development. Salaries for such internships vary based on location, company, and level of expertise, with some paying competitive stipends. Overall, full-time positions utilizing Databricks and related cloud tools tend to have higher salaries due to the specialized skills required.

How much do Databricks interns get paid?

Interns at Databricks working with Azure Databricks typically receive a stipend or hourly pay that ranges from $20 to $40 per hour, depending on location, experience, and the specific internship program. Compensation often includes opportunities to develop skills in cloud computing, data analytics, and Spark-based environments during the internship period.
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Internship Azure Databricks jobs near you
Infographic showing various Internship Azure Databricks job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Data Engineer, DA&AI Co-Op

Data Engineer, DA&AI Co-Op

Pepperidge Farm, Incorporated

Camden, NJ

$115K - $138K/yr

Full-time

Posted 29 days ago

Pepperidge Farm rating

7.7

Company rating: 7.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

110th of 395 rated food and drinks producers

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Data Engineer / AI Engineer (Co-op)

We are seeking a motivated and curious Data Engineer / AI Engineer to join our team. This co-op / internship offers hands-on experience at the forefront of Generative AI and automation. You will have the opportunity to learn and work with cutting-edge technologies within our Agentic Frameworks to refine their usage in a modern Databricks environment. If you are passionate about the future of AI and eager to build "intelligent" systems, we want to hear from you!

Key Responsibilities

  • Prototype AI Agents: Assist in building and testing AI agents designed to automate internal workflows or enhance data retrieval processes.
  • AI Training: Provide feedback to enhance and optimize the output of agents.
  • Prompt Engineering & Tuning: Experiment with and refine system prompts to improve the accuracy and reliability of outputs.
  • Monitor Model Performance: Identify "hallucinations" or inconsistencies in AI responses and suggest improvements for model grounding.
  • Collaborate with Agile Teams: Work with cross-functional teams to integrate AI capabilities into existing enterprise applications and participate in Agile ceremonies.
  • Explore Emerging AI Tools: Research and test new frameworks in the Agentic AI space under the guidance of senior AI and Data Engineers.
  • Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.

Learning & Development Opportunities

  • Hands-on training in Generative AI and Agentic technologies.
  • Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.
  • Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake).

Qualifications

  • Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field
  • Foundational programming skills in Python and an understanding of SQL.
  • Familiarity with AI concepts through coursework or personal projects.
  • Excellent problem-solving skills and a high degree of technical curiosity.
  • Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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