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Databricks Internships Jobs (NOW HIRING)

Merican

Developer III - Software Engineering

Frisco, TX · On-site

Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale. * Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake ...

SynergisticIT

Entry-Level Data Scientist

Manhattan, NY · On-site

$95K - $150K/yr

S.-based clients, you will leverage cutting-edge tools such as PyTorch, TensorFlow, Databricks, and ... Experience (via internship or employment) working on supervised, client-facing data science ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects • Understanding of basic data modeling and ETL/ELT concepts • Ability to work ...

UST Inc

Associate Data Engineer

Frisco, TX · On-site

$56K - $84K/yr

Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale. * Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake ...

Solva Technology Inc

AI Engineer Internship

New York, NY · On-site

... Databricks and Github. We have an advisory board of experienced insurance executives and founders ... Successful internships can lead to full time roles. What you'll do * Work on the AI systems behind ...

Microchip Technology

Engineer I- Software

Chandler, AZ · On-site

Hands-on experience with Databricks on AWS (academic, internship, or project-based). * Familiarity with Python for data processing or ML workflows. * Experience using Git or another version control ...

Reingold Inc

Data and AI Marketing Intern

Alexandria, VA · On-site

$20/hr

... Platform, and Databricks as our data infrastructure evolves. Working closely with digital and ... Internships at Reingold are full-time (40 hours) during the standard workweek and pay an hourly ...

Joby Aviation

Software Engineering Intern

San Carlos, CA · On-site

$5K - $7K/mo

Expect an internship that resembles a job you would have after graduating. Responsibilities * Build ... Experience with Python and FastAPI, building ETL or data pipelines on Databricks, or working with ...

Joby Aviation

Software Engineering Intern

San Carlos, CA

$5K - $7K/mo

Expect an internship that resembles a job you would have after graduating. Responsibilities * Build ... Experience with Python and FastAPI, building ETL or data pipelines on Databricks, or working with ...

Ames Construction

Data Analyst

Burnsville, MN · On-site

Actively develop technical skills in Databricks, Py-Spark, SQL, and Python. Understand how data ... Experience: Internship, academic, or project-based experience in data engineering, analytics ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

Ames Construction

Data Analyst

Burnsville, MN · On-site

Actively develop technical skills in Databricks, Py-Spark, SQL, and Python. Understand how data ... Experience: Internship, academic, or project-based experience in data engineering, analytics ...

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Databricks Internships information

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$27

$48

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How much do databricks internships jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for databricks internships in the United States is $48.74, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $57.69 per hour, depending on experience, location, and employer.

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 types of projects and responsibilities can Databricks interns expect to work on 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 Databricks internships?

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 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.

More about Databricks Internships jobs
What cities are hiring for Databricks Internships jobs? Cities with the most Databricks Internships job openings:
What states have the most Databricks Internships jobs? States with the most job openings for Databricks Internships jobs include:
What job categories do people searching Databricks Internships jobs look for? The top searched job categories for Databricks Internships jobs are:
Databricks Internships jobs near you
Infographic showing various Databricks Internships job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $101,369 per year, or $48.7 per hour.
Developer III - Software Engineering

Developer III - Software Engineering

Tekwissen

Frisco, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Developer III - Software Engineering
Location: Frisco,TX
Duration: 13 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description:
REQUIRED QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field - plus
  • 1+ years of related work experience, OR equivalent demonstrated experience through internships, bootcamps, or self-directed project work..
  • 1+ years of hands-on data engineering or software engineering experience, including internships and academic project work that demonstrate production-quality engineering habits.
  • Working proficiency in SQL and Python. Exposure to Spark (PySpark or Spark SQL) for distributed data transformation, or strong willingness and demonstrated ability to learn it quickly.
  • Exposure to cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop hands-on depth.
  • Familiarity with at least one BI tool (Power BI preferred, Tableau or similar acceptable).
  • Understanding of fundamental data engineering concepts data modeling, ETL/ELT, data quality, source-to-target mapping.
  • Familiarity with Git, code review practices, and basic CI/CD concepts.
  • Good communication skills able to ask clarifying questions, communicate progress clearly, and learn from feedback.
  • Strong problem-solving instincts, curiosity, and the discipline to deliver well-defined work to a high standard.
  • Eagerness to learn the full vertical from ingestion through visualization, and to take on broader ownership over time.
PREFERRED QUALIFICATIONS:
  • Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale.
  • Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI.
  • Exposure to Iceberg tables or other modern open table formats.
  • Exposure to HR data domains talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
  • Familiarity with Workday, ServiceNow HR, or comparable HR systems of record.
  • Exposure to streaming technologies (Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming).
  • Exposure to AI/ML pipelines or building data products that support ML workloads. Azure certifications (Azure Fundamentals, Data Engineer Associate) or working toward them.
  • Familiarity with Client's Omni lakehouse platform, MagentaBuilt integrations, or enterprise IT architecture standards.
  • Familiarity with data privacy concepts (GDPR, CCPA) and HR data handling considerations.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.
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About TekWissen

Sourced by ZipRecruiter

TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2009

Social media

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