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Internship Azure Databricks Jobs in Commack, NY (NOW HIRING)

Internship Azure Databricks information

See Commack, NY salary details

$13

$26

$40

How much do internship azure databricks jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for internship azure databricks in Commack, NY is $26.32, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $29.86 per hour, depending on experience, location, and employer.

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 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, 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.

Is Azure Databricks in demand?

Azure Databricks skills are highly in demand as organizations increasingly adopt cloud-based data analytics and machine learning solutions. Professionals with expertise in Azure, Spark, and data engineering are sought after for roles involving big data processing and AI development.

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.

Does Databricks hire interns?

Databricks offers internship programs, including roles related to Azure Databricks, for students and early-career professionals. Internships typically involve hands-on experience with cloud-based data analytics, Spark, and machine learning tools, and are often available during summer or semester periods. Applicants usually need relevant technical skills and may be required to apply through the company's careers portal or university recruiting channels.

Is Databricks a high paying job?

An internship involving Azure Databricks typically offers lower compensation compared to full-time data engineering or data science roles, but it can provide valuable industry experience and skill development. Salaries for such internships vary based on location, company, and level of expertise, with some paying competitive stipends. Overall, full-time positions utilizing Databricks and related cloud tools tend to have higher salaries due to the specialized skills required.

How much do Databricks interns get paid?

Interns at Databricks working with Azure Databricks typically receive a stipend or hourly pay that ranges from $20 to $40 per hour, depending on location, experience, and the specific internship program. Compensation often includes opportunities to develop skills in cloud computing, data analytics, and Spark-based environments during the internship period.
What cities near Commack, NY are hiring for Internship Azure Databricks jobs? Cities near Commack, NY with the most Internship Azure Databricks job openings:
Infographic showing various Internship Azure Databricks job openings in Commack, NY as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $54,746 per year, or $26.3 per hour.

Senior Quant Analyst, Quantitative Developer

London Stock Exchange Group

New York, NY

$125K - $208K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

Role Profile
The role is in Quantitative Data Research team which sits within Analytics Research Group. This is a senior level quantitative developer role responsible for application development, including the responsibilities for running and refactoring legacy processes as well as coordinating the work of the other developers. This individual will work closely with colleagues within ISD Research and Product Management as well as others with ISD Data Operations, and Technology.
Key Responsibilities
Design, develop, and maintain quantitative data processing pipelines to support research, analytics, and production environments. Commit to support and improvement of existing implementations
Build and optimize data workflows for large-scale financial datasets, ensuring efficiency, scalability, and data integrity across ingestion, transformation, and delivery layers. Understand data flows that support quant models.
Work within AWS and Azure cloud environments, leveraging services such as S3, Lambda, EC2, Databricks, and Azure Data Factory to support distributed computation and automation.
Collaborate closely with quantitative analysts, data scientists, and business stakeholders to translate modeling requirements into robust, production-ready systems.
Implement best practices for code versioning, testing, and CI/CD, ensuring maintainable and reproducible quantitative infrastructure.
Monitor and troubleshoot pipeline performance, proactively addressing bottlenecks and optimizing for speed, cost, and reliability.
Continuously acquire new technical skills-including modern data frameworks, cloud tools, and programming techniques-to enhance the team's analytical capabilities.
Engage in active learning of the business domain, developing a deep understanding of financial products, market data, and risk factors to better align technical solutions with analytical needs.
Contribute to documentation, peer reviews, and knowledge sharing to support continuous improvement within the quantitative development team.

Key Behaviours
Integrity
Has the sustained drive and energy to deliver support service to time and quality.
Innovation and Partnership
Open to and willingly adopts new processes / approaches / ways of working.
Seeks information/inputs from colleagues/clients.
Deals with conflict successfully.
Excellence
Willingly puts in the effort to ensure activities completed on time and to the quality required.
Pro-active and demonstrates initiative.
Prioritises activities according to business and operational need.
Analysis and problem-solving skills.
Analyses issues to identify the most appropriate solutions.
Utilises all available resources and toolsets to investigate and resolve problems.


Candidate Profile / Key Skills
Strong working knowledge of Python programming language is required.
Experience with data wrangling and creating data pipelines in Python is strongly desired.
Familiarity with programming, computing and searching algorithms is a plus.
Familiarity with Linux environment is a plus.
Familiarity with PySpark applications is a plus.
Familiarity with ETL technologies a plus.
Familiarity with ML and AI technologies and their applications is a plus
Technical degree in a field such as Physics, Computer Science, Engineering, Statistics or Mathematics preferred.
Familiarity with cloud-based platform like AWS, Azure, DataBricks and Snowflake is a plus
Strong leadership skills, desire, and ability to innovate.
Familiarity with finance and fixed income a plus.

Career Stage:

Senior Associate

Compensation/Benefits Information:

LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $125,100 - $208,500.Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/"bonus plan"). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG's Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.