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Databricks Internships Jobs in Northbrook, IL (NOW HIRING)

Armaninollp

Data & AI Platform Engineer

Chicago, IL · On-site

$118K - $141K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

CNH Industrial N.V.

Purchasing Data Analyst

Oak Brook, IL · On-site

$19.57 - $27.81/hr

Our internship and co-op programs provide mentorship, training, hands-on experience, and growth ... Databricks, Power Query, and/or Python. • Data Pipeline Automation through tools like Power ...

New

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Azure, Snowflake, Databricks,etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Azure, Snowflake, Databricks,etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

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Databricks Internships information

See Northbrook, IL salary details

$27

$49

$66

How much do databricks internships jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for databricks internships in Northbrook, IL is $49.47, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $58.56 per hour, depending on experience, location, and employer.

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.

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What job categories do people searching Databricks Internships jobs in Northbrook, IL look for?

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What cities near Northbrook, IL are hiring for Databricks Internships jobs?

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Databricks Internships jobs near you
Infographic showing various Databricks Internships job openings in Northbrook, IL as of August 2026, with employment types broken down into 7% Internship, 1% As Needed, 66% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $102,888 per year, or $49.5 per hour.

AI Engineer - FDE (Forward Deployed Engineer)

Databricks

Chicago, IL • On-site, Remote

Full-time

Posted 3 days ago

New

Job description

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)

CSQ327R177

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

This role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants.

The impact you will have:

  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
  • Own production rollouts of consumer and internally facing GenAI applications
  • Serve as a trusted technical advisor to customers across a variety of domains
  • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
  • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap 

What we look for:

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
  • Passion for collaboration, life-long learning, and driving business value through AI
  • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
  • Willing to travel once every 4-8 weeks to see customers (as needed)

Apply