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Internship Azure Databricks Jobs (NOW HIRING)

NOV, Inc.

Senior Data Scientist

Houston, TX

... AWS, Azure, Databricks, and Snowflake * Ensure models are production-ready, robust, and ... Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

... AWS, Azure, Databricks, and Snowflake * Ensure models are production-ready, robust, and ... Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics ...

UnitedHealth Group

Data Engineer - 2373625

Eden Prairie, MN · Remote

$98K - $172K/yr

... internship, or thesis or one (1) year of experience involving the following: Cloud Platforms such as Snowflake, Azure Databricks, or Microsoft Azure; Data Pipeline Awareness; Databricks; SQL; Delta ...

Campbell's

Data Engineer, DA&AI Co-Op

Camden, NJ

$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 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 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)

UnitedHealth Group

Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

Contribute to skill development for engineers and interns in AI/LLM techniques * Comply with ... Experience with Azure, Databricks, Snowflake, LLMs and/or similar tools * Demonstrated problem ...

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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.
Analytics & BI Specialist 1

Analytics & BI Specialist 1

Berkshire Hathaway Energy

Des Moines, IA • On-site

$77K - $96K/yr

Full-time

Posted 12 days ago

Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description


This role will design, develop, and maintain interactive dashboards and reports using Power BI to support business units across the utility.
Responsibilities
Work closely with data engineers and architects to ensure data quality, governance, and security across the Azure ecosystem.
Collaborate with stakeholders to gather requirements, understand business processes, and translate needs into effective data visualizations.
Build and optimize data models using Power BI Desktop and DAX to ensure performance and scalability.
Integrate data from various sources including Azure Data Lake, SQL Server, Oracle, and SharePoint, API's.
Implement row-level security and manage workspace access to ensure data governance and compliance.
Support data quality initiatives by identifying inconsistencies and working with data owners to resolve issues.
Provide training and support to business users on Power BI capabilities and self-service analytics.
Stay current with Power BI updates and best practices and recommend improvements to existing reporting infrastructure.
Qualifications
Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. (Typically four years of related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.)
Eighteen months of work and/or internship primarily in a BI development, data modeling and administration role.
Strong proficiency in DAX, Power Query (M), and data modeling techniques.
Experience working with large datasets and integrating data from multiple sources.
Familiarity with Microsoft Azure services (e.g., Azure Databricks, Azure Data Factory, Azure SQL).
Excellent communication and collaboration skills, with the ability to work across technical and non-technical teams.
Familiarity with Agile development methodologies.
Understanding of data governance, security, and compliance frameworks.
Experience with version control (e.g., Git) and Agile development practices.
Ability to prioritize and manage multiple tasks and projects concurrently.
About Us
MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.
About the Team
MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

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