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Internship Azure Databricks Jobs in New York (NOW HIRING)

Lawrence Harvey

Data Engineer

Edison, NJ · On-site

$88K - $105K/yr

... Computer Science, or a related field; internships and academic projects are considered ... Experience with Azure, AWS, or GCP * Databricks certification * Exposure to BI, reporting, or data ...

LHi Group Ltd

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

... Computer Science, or a related field; internships and academic projects are considered ... Experience with Azure, AWS, or Google Cloud Platform * Databricks certification * Exposure to BI ...

Lawrence Harvey

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

... Computer Science, or a related field; internships and academic projects are considered ... Experience with Azure, AWS, or GCP * Databricks certification * Exposure to BI, reporting, or data ...

Armaninollp

Data & AI Platform Engineer

New York, NY · On-site

$125K - $150K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... Any relevant certs (Azure fundamentals, Snowflake, Databricks, etc) * Demonstrated experience with ...

Armaninollp

Data & AI Platform Engineer

Garden City, NY · On-site

$117K - $141K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... Any relevant certs (Azure fundamentals, Snowflake, Databricks, etc) * Demonstrated experience with ...

IBM

Data Engineer Intern 2027

New York, NY · 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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Internship Azure Databricks information

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?

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 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 are the most commonly searched types of Azure Databricks jobs in New York?

The most popular types of Azure Databricks jobs in New York are:

What are popular job titles related to Internship Azure Databricks jobs in New York?

For Internship Azure Databricks jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Azure Databricks jobs in New York look for?

The top searched job categories for Internship Azure Databricks jobs in New York are:

What cities in New York are hiring for Internship Azure Databricks jobs?

Cities in New York with the most Internship Azure Databricks job openings:

Internship Azure Databricks jobs near you
Infographic showing various Internship Azure Databricks job openings in New York as of August 2026, with employment types broken down into 6% Internship, 67% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

AI Engineer - FDE (Forward Deployed Engineer)

Databricks

New York, NY • 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