At least 6 years of experience in software engineering (Internship experience does not apply) * At ... Python, Golang, or Node.js * 4+ years of experience with AWS, GCP, Azure, or another cloud service ...
At least 6 years of experience in software engineering (Internship experience does not apply) * At ... Python, Golang, or Node.js * 4+ years of experience with AWS, GCP, Azure, or another cloud service ...
... Snowflake, Databricks * Optimize information system for end-user and downstream application ... At least 6 years of experience in application development (Internship experience does not apply)
... Snowflake, Databricks * Optimize information system for end-user and downstream application ... At least 6 years of experience in application development (Internship experience does not apply)
At least 6 years of experience in software engineering (Internship experience does not apply) * At ... Python, Golang, or Node.js * 4+ years of experience with AWS, GCP, Azure, or another cloud service ...
At least 6 years of experience in software engineering (Internship experience does not apply) * At ... Python, Golang, or Node.js * 4+ years of experience with AWS, GCP, Azure, or another cloud service ...
At least 6 years of experience in software engineering (Internship experience does not apply) * At ... Python, Golang, or Node.js * 4+ years of experience with AWS, GCP, Azure, or another cloud service ...
At least 6 years of experience in software engineering (Internship experience does not apply) * At ... Python, Golang, or Node.js * 4+ years of experience with AWS, GCP, Azure, or another cloud service ...
... Snowflake, Databricks * Optimize information system for end-user and downstream application ... At least 6 years of experience in application development (Internship experience does not apply)
... Snowflake, Databricks * Optimize information system for end-user and downstream application ... At least 6 years of experience in application development (Internship experience does not apply)
... Snowflake, Databricks * Optimize information system for end-user and downstream application ... At least 6 years of experience in application development (Internship experience does not apply)
... Snowflake, Databricks * Optimize information system for end-user and downstream application ... At least 6 years of experience in application development (Internship experience does not apply)
... Snowflake, Databricks * Optimize information system for end-user and downstream application ... At least 4 years of experience in application development (Internship experience does not apply)
... Snowflake, Databricks * Optimize information system for end-user and downstream application ... At least 4 years of experience in application development (Internship experience does not apply)
Internship Azure Databricks information
See Silver Spring, MD salary details
$13.92 - $16.29
5% of jobs
$16.29 - $18.66
7% of jobs
$20.98 is the 25th percentile. Wages below this are outliers.
$18.66 - $21.03
13% of jobs
$21.03 - $23.40
9% of jobs
The median wage is $25.32 / hr.
$23.40 - $25.78
19% of jobs
$25.78 - $28.15
18% of jobs
$28.74 is the 75th percentile. Wages above this are outliers.
$28.15 - $30.52
14% of jobs
$30.52 - $32.89
7% of jobs
$32.89 - $35.26
4% of jobs
$35.26 - $37.64
0% of jobs
$37.64 - $40.01
3% of jobs
$13
$26
$40
How much do internship azure databricks jobs pay per hour?
As of Jun 9, 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?
| Aspect | Internship Azure Databricks | Data Engineer Intern |
|---|---|---|
| Required Skills | Azure, Databricks, SQL, Python | SQL, Python, ETL, Cloud platforms |
| Work Environment | Cloud-based, data analytics projects | Data pipelines, database management |
| Certifications | Azure certifications beneficial | Basic 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.
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 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:
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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:
Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes)
Capital OneMclean, VA
Full-time
Posted 25 days ago
Capital One rating
7.7
Based on 134 frontline employees who took The Breakroom Quiz
72nd of 141 rated banks
Job description
Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes)
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 Full Stack/Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
The Machine Learning Experience Team (MLX Tech) is committed to pioneering and responsibly implementing AI/ML across Capital One. We achieve this by building platforms that enable the rapid and responsible development and deployment of AI/ML solutions at scale. MLX Tech harnesses the power of Generative AI to assist Capital one customers. Our mission is driven by our passionate, collaborative, and interdisciplinary team, being trusted partners to unleash the full power of machine learning and AI.
What You'll Do:
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Basic Qualifications:
Bachelor's Degree
At least 6 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
Master's Degree
9+ years of experience in at least one of the following: Python, Golang, or Node.js
4+ years of experience with AWS, GCP, Azure, or another cloud service
4+ years of experience in open source frameworks
2+ years of experience in Kubernetes: hands-on deploying and managing large-scale apps on Kubernetes
1+ years of people management experience
2+ years of experience with Amazon SageMaker, Databricks, or another comprehensive ML platform
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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.
Cambridge, MA: $229,900 - $262,400 for Sr. Lead Software EngineerCandidates 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 theCapital 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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