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Computer Science Apprenticeship Jobs in Maryland

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Computer Science Apprenticeship information

See Maryland salary details

$19.4K

$63.9K

$129.1K

How much do computer science apprenticeship jobs pay per year?

As of Aug 13, 2026, the average yearly pay for computer science apprenticeship in Maryland is $63,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,873.00 and $82,730.00 per year, depending on experience, location, and employer.

What kind of mentorship or training can I expect during a computer science apprenticeship?

As a Computer Science Apprentice, you will typically receive structured mentorship from experienced software engineers and participate in hands-on training sessions. Expect regular code reviews, pair programming opportunities, and collaborative projects that help reinforce your learning. Many programs also provide access to internal documentation, technical workshops, and opportunities to shadow professionals across different teams, giving you a broader view of the field. This support structure is designed to help you rapidly build practical skills and prepare for a full-time role in computer science upon completion of the apprenticeship.

What is a computer science apprenticeship?

A Computer Science Apprenticeship is a structured, hands-on training program that combines practical work experience with academic learning. Apprentices typically work under the guidance of experienced professionals while gaining technical skills in areas such as programming, software development, and cybersecurity. These programs often lead to industry-recognized certifications or a full-time job upon completion. They are ideal for individuals looking to enter the tech field without a traditional degree or seeking hands-on experience while studying.

What are the key skills and qualifications needed to thrive in a computer science apprenticeship, and why are they important?

To excel in a Computer Science Apprenticeship, you need foundational knowledge of programming languages (such as Python, Java, or C++), basic understanding of algorithms and data structures, and a willingness to learn on the job. Exposure to version control systems like Git and familiarity with development environments or basic software engineering principles are often expected. Strong problem-solving abilities, effective communication, and a collaborative attitude help apprentices integrate seamlessly into development teams. These skills are crucial for adapting to new technologies, contributing effectively to projects, and gaining the practical experience needed for a successful tech career.

What are the most commonly searched types of Computer Science Apprenticeship jobs in Maryland?

The most popular types of Computer Science Apprenticeship jobs in Maryland are:

What are popular job titles related to Computer Science Apprenticeship jobs in Maryland?

For Computer Science Apprenticeship jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Computer Science Apprenticeship jobs in Maryland look for?

The top searched job categories for Computer Science Apprenticeship jobs in Maryland are:

Infographic showing various Computer Science Apprenticeship job openings in Maryland as of August 2026, with employment types broken down into 76% Full Time, 17% Part Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $63,885 per year, or $30.7 per hour.

Data Engineer - QuantumBlack, AI by McKinsey

McKinsey & Company

Lisbon, MD • On-site

$125K - $151K/yr

Full-time

Re-posted 4 days ago


McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants


Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will design scalable data pipelines, manage secure data environments, and lead technical workstreams while mentoring junior colleagues and collaborating with clients and cross-functional teams.
You'll tackle impactful challenges, contribute to R&D, and grow as a technologist by working on innovative AI solutions across diverse industries.
You will own technical platforms and lead the delivery of advanced analytics workstreams. You'll design and build robust, scalable, and reproducible data pipelines for machine learning, manage secure data environments, and assess data quality to prepare it for advanced analytics models. You'll also mentor junior colleagues and contribute to R&D projects and internal asset development.
Your work will tackle real-world challenges across industries. By partnering with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you'll help create innovative machine learning systems that accelerate AI adoption and solve critical business problems at speed and scale, enabling clients to achieve meaningful, lasting impact.
You'll be based in Madrid or Lisbon as part of our global Data Engineering community. You'll work in cross-functional Agile teams alongside Data Scientists, Machine Learning Engineers, and industry experts to deliver advanced analytics solutions. Collaborating with clients from data owners to C-level executives you'll help design impactful solutions that address complex business challenges.
Your work offers a unique opportunity to grow as a technologist and leader. You'll develop expertise at the intersection of technology and business by addressing diverse challenges. Working with inspiring, multidisciplinary teams, you'll gain a holistic understanding of AI while collaborating with some of the best design, technical, and business talent in the world.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
  • Ability to write clean, maintainable, scalable and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting
  • Familiarity with distributed computing frameworks (e.g. Spark, Dask), cloud platforms (e.g. AWS, Azure, GCP), containerization, and analytics libraries (e.g. pandas, NumPy, matplotlib)
  • Proven experience building data pipelines in production for advanced analytics use cases
  • Experience working across structured, semi-structured and unstructured data
  • While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more
  • Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
  • Willingness to travel
  • Strong communication skills, both verbal and written, in English and Spanish or Portuguese, with the ability to adjust your style to suit different perspectives and seniority levels

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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