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Databricks Internships Jobs in Oklahoma (NOW HIRING)

Databricks Internships information

What is a Databricks internship?

Databricks internships are structured programs that offer students and recent graduates the opportunity to gain hands-on experience working with data engineering, machine learning, and cloud technologies at Databricks. Interns typically work on real-world projects alongside experienced engineers, data scientists, and business professionals. These internships provide mentorship, training, and networking opportunities, and are a valuable way to learn about the tech industry and Databricks’ culture. They are available in a variety of roles, including software engineering, product management, and data science.

What types of projects and responsibilities can a Databricks intern expect during their internship?

Databricks interns typically work on impactful, real-world projects alongside full-time engineers or data scientists. You may contribute to product features, optimize data pipelines, or help improve machine learning models, depending on your team placement. Interns are encouraged to collaborate cross-functionally, participate in code reviews, and attend team meetings, gaining exposure to agile development practices and cloud technologies. This hands-on experience fosters strong technical growth and provides valuable insight into fast-paced, collaborative tech environments.

What are the key skills and qualifications needed to thrive as a Databricks intern, and why are they important?

To thrive as a Databricks Intern, you should have a solid background in computer science, programming (especially Python, Scala, or SQL), and data analytics, often supported by relevant coursework or project experience. Familiarity with big data platforms like Apache Spark, cloud services (AWS, Azure), and version control systems such as Git is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and grow within diverse technical teams. These skills and qualities are crucial for contributing to real-world data projects and maximizing the learning experience during the internship.

What is the difference between Databricks Internships vs Data Engineer Internships?

AspectDatabricks InternshipsData Engineer Internships
Required SkillsKnowledge of Spark, cloud platforms, programming (Python, Scala)Data pipeline development, SQL, cloud services, programming (Python, Java)
Work EnvironmentCollaborative, tech-focused, cloud-based platformsData processing, database management, cloud infrastructure
Industry UsageTech companies using Databricks platformOrganizations managing large-scale data systems

Databricks Internships typically focus on working with the Databricks platform, Spark, and cloud-based data solutions. Data Engineer Internships involve building and maintaining data pipelines, working with databases, and cloud infrastructure. Both roles require programming skills and familiarity with cloud services, but Databricks Internships are more platform-specific, while Data Engineer Internships cover broader data engineering tasks.

How to get a job at Databricks?

To get a job at Databricks, candidates should have strong skills in data engineering, cloud computing, and programming languages like Python or Scala. Relevant experience with big data tools such as Apache Spark and a solid understanding of machine learning concepts can improve chances. Applying through the company's careers page and preparing for technical interviews are essential steps.

What are popular job titles related to Databricks Internships jobs in Oklahoma?

For Databricks Internships jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Databricks Internships jobs in Oklahoma look for?

The top searched job categories for Databricks Internships jobs in Oklahoma are:

What cities in Oklahoma are hiring for Databricks Internships jobs?

Cities in Oklahoma with the most Databricks Internships job openings:

Technology Summer Intern 2027

Oklahoma City, OK • On-site


Devon Energy
Oil and Gas Extraction • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

1st of 87 rated oil and gas companies

Great coworkers

People enjoy working here

Good employer


Temporary, Internship

Posted 8 days ago


Job description

At Devon, we will offer you a career full of energy and unmatched opportunities to solve today's greatest challenges. Innovation, creative problem-solving and positive change happen when people step out of their comfort zone and think differently. Our values, workplace practices, wellness programs, benefits and compensation are aimed at helping employees manage their unique personal life and care for their families so they can focus on contributing to the fullest.
We are seeking enthusiastic and motivated interns to join our Data Engineering team for a comprehensive internship program. This role provides exposure to modern data engineering technologies, collaboration with experienced professionals, and the chance to develop technical and analytical skills in a real-world environment.
Responsibilities:
  • Assist in designing, developing, and maintaining data pipelines to support efficient and reliable data movement across systems.

  • Collaborate with data engineers and analysts to process, clean, and transform data using tools such as Databricks, PySpark, and Snowflake.

  • Support the creation and maintenance of data models and data integration processes.

  • Participate in testing and debugging data applications and scripts to ensure data quality and integrity.

  • Help develop and document data processing workflows and best practices.

  • Learn and apply cloud computing concepts using platforms like Azure DevOps.

  • Contribute to the development of data visualization dashboards and reports.

  • Engage in team meetings and cross-functional collaborations to understand business data requirements.

  • Stay current with emerging data engineering technologies and industry trends through active learning.

Technology Exposure:
  • Databricks

  • PySpark

  • Snowflake

  • Azure DevOps

  • PowerBI

  • Power Apps

  • SharePoint

  • Additional modern data engineering tools

Education:
  • Pursuing a Bachelor's Degree in Information Technology, Computer Science, Data Science, or a related discipline.

Preferred Skills & Competencies:
  • Basic understanding of data processing, data modeling, and SQL.

  • Interest in cloud computing and data engineering concepts.

  • Strong analytical, problem-solving, and communication skills.

  • Willingness to learn new technologies and work collaboratively.

  • Digital literacy and attention to detail.

What You'll Gain:
  • Real-world experience in data engineering and analytics.

  • Mentorship from experienced professionals.

  • Exposure to industry-leading technologies and practices.

  • Opportunities to contribute to meaningful projects that impact business operations.

Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or other characteristics protected by law.
For more information on Equal Employment Opportunity, please follow these links:
EEO is the Law
EEO is the Law Supplement
Pay Transparency Provision


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