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Internship Deloitte Computer Science Jobs in Maryland

Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

Amazon Connect Technical Architect

Baltimore, MD · On-site

$65.75 - $79.50/hr

Bachelor's Degree in Computer Science, Engineering or equivalent work experience * Ability to ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

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Internship Deloitte Computer Science information

What are the key skills and qualifications needed to thrive as an intern in Computer Science at Deloitte, and why are they important?

To thrive as a Computer Science intern at Deloitte, you need a solid understanding of programming fundamentals, data structures, and algorithms, typically demonstrated through ongoing studies in a relevant degree program. Familiarity with programming languages like Python or Java, experience with databases, and knowledge of version control systems such as Git are commonly required. Strong analytical thinking, effective communication, and a willingness to learn make interns stand out in collaborative and fast-paced environments. These skills and qualities are vital for successfully contributing to client projects, adapting to new technologies, and working efficiently within Deloitte's multidisciplinary teams.

What types of projects do computer science interns typically work on at Deloitte, and how do these projects support professional development?

As a computer science intern at Deloitte, you can expect to work on real-world projects that often involve data analysis, software development, automation, or cybersecurity initiatives. These projects are designed to address client needs or improve internal processes, allowing interns to apply their technical skills in a business context. You'll typically collaborate with multidisciplinary teams, including consultants and senior engineers, which fosters both technical and soft skill growth. This hands-on experience not only builds your resume but also exposes you to Deloitte's methodologies and work culture, supporting your long-term professional development.

What is an Internship at Deloitte for Computer Science students?

An Internship at Deloitte for Computer Science students is a temporary position that offers hands-on experience in technology, consulting, or related fields within the company. Interns work alongside experienced professionals, contributing to real projects, learning industry best practices, and developing technical and soft skills. The program is designed to provide insight into Deloitte's work culture and can often lead to full-time job opportunities upon graduation. Interns may be involved in tasks such as software development, data analysis, or IT consulting, depending on the specific team and project needs.
What are popular job titles related to Internship Deloitte Computer Science jobs in Maryland? For Internship Deloitte Computer Science jobs in Maryland, the most frequently searched job titles are:
What cities in Maryland are hiring for Internship Deloitte Computer Science jobs? Cities in Maryland with the most Internship Deloitte Computer Science job openings:
Databricks Manager

Databricks Manager

Deloitte

Baltimore, MD • On-site, Remote

Other

Posted 6 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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