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Internship Azure Databricks Jobs in Silver Spring, MD

Prior internship, academic project, or professional experience supporting data engineering or ... Databricks SQL, or Grafana. * Experience with or strong interest in designing semantic data ...

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Internship Azure Databricks information

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$13

$26

$40

How much do internship azure databricks jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for internship azure databricks in Silver Spring, MD is $26.27, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $29.81 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 are popular job titles related to Internship Azure Databricks jobs in Silver Spring, MD? For Internship Azure Databricks jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Internship Azure Databricks jobs in Silver Spring, MD look for? The top searched job categories for Internship Azure Databricks jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Internship Azure Databricks jobs? Cities near Silver Spring, MD with the most Internship Azure Databricks job openings:
Lead Software Engineer, Messaging Dispatch

Lead Software Engineer, Messaging Dispatch

Capital One

Mclean, VA • On-site

Full-time

Posted 24 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

71st of 144 rated banks


Job description

Lead Software Engineer, Messaging Dispatch
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking a highly skilled and visionary Lead Back End Software Engineer who is passionate about Artificial Intelligence, Machine Learning, and building intelligent solutions with emerging technologies. As a Capital One Lead, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
The Team:
The Marketing and Messaging organization focuses on engineering hyper-personalized, high-impact consumer experiences across omnichannel platforms. The team builds scalable platforms that deliver omnichannel messages to customers and prospects.
What You'll Do:
  • Lead a portfolio of diverse technology projects and guide a team of developers with deep experience in distributed microservices and full stack systems to create solutions
  • Collaborate with digital product managers to design and deliver robust cloud-based solutions that drive powerful, personalized experiences to help millions of Americans achieve financial empowerment
  • Direct the design, development, testing, and implementation of technical solutions using AI technologies, large language models (LLMs), and cloud infrastructure, ensuring sound data design practices are applied
  • Leverage a diverse technical stack including Java, JavaScript, Python, and Go, alongside modern cloud infrastructure, and advanced AWS ecosystems to deliver high-performance software solutions
  • Champion the growth of our engineering community through active mentorship, while driving excellence in delivery by conducting rigorous code reviews to ensure technical solutions are performant and maintainable

Basic Qualifications:
  • Bachelor's Degree
  • At least 4 years of professional software engineering experience (Internship experience does not apply)
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:
  • Master's Degree
  • 7+ years of experience in at least one of the following: Java, JavaScript, Python, Go, TypeScript, or SQL
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service
  • 4+ years of experience working with various open source frameworks
  • 4+ years of experience leading technical direction and executing large scale projects across multiple engineering teams
  • 2+ years of experience in Agile practices
  • 1+ years of experience working with big data ETL using Dataflow, AWS Glue or Databricks
  • 1+ years of experience utilizing Generative AI coding tools and advanced LLM capabilities (such as Claude Code) to enhance engineering productivity
  • 1+ years of experience in prompt engineering or developing features enhanced by Artificial Intelligence
  • Experience utilizing advanced AI tooling and LLM capabilities to drive engineering productivity and innovation

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Lead Software Engineer
New York, NY: $215,200 - $245,600 for Lead Software Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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