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Internship Azure Databricks Jobs (NOW HIRING)

... Azure Databricks, GitHub, and Power BI. This role is ideal for someone early in their career who is ... Experience: Internship, academic, or project-based experience in data engineering, analytics ...

... internship, or professional environments * Experience writing SQL queries for data analysis and ... Experience with cloud platforms such as Azure, AWS, or GCP, and object storage * Experience with ...

... Azure Databricks, GitHub, and Power BI. This role is ideal for someone early in their career who is ... Experience: Internship, academic, or project-based experience in data engineering, analytics ...

... internship, or professional environments * Experience writing SQL queries for data analysis and ... Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform, and object storage

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

$15.50 - $20.25/hr

Azure Databricks * SQL * KNIME * Python * CoPilot Studio Job Schedule Full time Job Number R000150840 Job Segmentation Internships Starting Pay / Salary Range 2,500.00 - 2,500.00 / month

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

... internship or co-op experience within a utility company environment Excellent communication ... NET Developer Azure Cloud Data Engineer Azure Databricks Azure Data Factory Azure logic App Power ...

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Internship Azure Databricks information

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How much do internship azure databricks jobs pay per hour?

As of May 31, 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 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.

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 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 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.

More about Internship Azure Databricks jobs
What cities are hiring for Internship Azure Databricks jobs? Cities with the most Internship Azure Databricks job openings:
What are the most commonly searched types of Azure Databricks jobs? The most popular types of Azure Databricks jobs are:
What states have the most Internship Azure Databricks jobs? States with the most job openings for Internship Azure Databricks jobs include:
Senior Software Engineer - PIMS2

$112K - $147.60K/yr

Other

Posted 18 hours ago


Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,534 frontline employees who took The Breakroom Quiz

22nd of 113 rated grocery stores


Job description

Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states.
From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level-internships through technical leadership.
Join a company consistently ranked among Fortune's "100 Best Companies to Work For" and help us build more than great subs-build the future of technology at Publix.
Join the PIMS2 Data Service as a Senior Software Engineer opportunity.  In this role the Senior Software Engineer will be responsible for the setup of Azure APIM and Data Lake/Databricks.  Within the team, daily responsibilities include: data ingestion from Kafka topics into data lake (Lakehouse architecture).  This also includes design, builing optimized PySpark pipelines for ingestion and transformations.  We are also implementing patters for bronze/silver and gold performance optimization.
Location: Hybrid (Lakeland, FL) 
Work Model: Enjoy the best of both worlds-collaborate in person and innovate remotely.
Why Join Us?
  • Hybrid Flexibility: Work remotely when you need focus time and join us onsite for high-impact collaboration and brainstorming sessions.
  • Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness.
  • Empowered Culture: We value autonomy, creativity, and continuous learning-your ideas shape the future of technology in our organization.

Your Impact
  • Design, build, and optimize PySpark pipelines in Azure Databricks for ingestion, transformation, and publishing. 
  • Implement Delta Lake Lakehouse patterns (Bronze/Silver/Gold) and drive performance/cost optimization. 
  • Implement Spark declarative pipelines (Databricks declarative pipeline patterns; formerly DLT) and enforce data quality gates (expectations/validation) to ensure trusted datasets. 
  • Configure and support governance practices in Databricks (Unity Catalog permissions/access control concepts, auditability). 
  • Deliver curated/semantic datasets for analytics and downstream consumers; ensure data contracts and consistency.  

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