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How much do data apprentice jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data apprentice in Suwanee, GA is $21.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $23.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data apprentice?

To thrive as a Data Apprentice, you need a solid understanding of basic statistics, data analysis, and foundational programming skills, often supported by a high school diploma or equivalent. Familiarity with tools like Microsoft Excel, SQL, and introductory experience with Python or data visualization platforms is typically required. Strong attention to detail, a willingness to learn, and effective communication make candidates stand out in this entry-level role. These skills are crucial for accurately handling data tasks, supporting business decisions, and building a pathway for growth in the data field.

What types of projects or tasks can a data apprentice expect to work on during their apprenticeship?

As a Data Apprentice, you will typically support data analysts and data scientists by assisting with data collection, cleaning, and basic analysis tasks. You may be involved in preparing datasets, generating routine reports, and visualizing data to help stakeholders understand key insights. Apprentices often work closely with more experienced team members, which provides valuable opportunities to learn technical skills, industry tools, and best practices while contributing to real-world projects. This collaborative environment is designed to help you build a strong foundation for a data-focused career.

What is a data apprentice?

A Data Apprentice is an entry-level professional who is learning the skills required to work with data, often through a structured apprenticeship program. They typically assist with tasks such as data collection, cleaning, analysis, and reporting while receiving on-the-job training and mentorship. Data Apprentices work under the guidance of experienced data professionals to develop their technical abilities and understanding of data-driven decision-making. This role is ideal for individuals seeking to start a career in data science, analytics, or related fields without prior experience.
What are the most commonly searched types of Data jobs in Suwanee, GA? The most popular types of Data jobs in Suwanee, GA are:
What cities near Suwanee, GA are hiring for Data Apprentice jobs? Cities near Suwanee, GA with the most Data Apprentice job openings:
Data Apprentice jobs near you
Infographic showing various Data Apprentice job openings in Suwanee, GA as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,164 per year, or $21.2 per hour.

Director of Data Engineering - QuantumBlack, AI by McKinsey

McKinsey & Company

Atlanta, GA • On-site

$243K/yr

Full-time

Posted 5 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 lead multiple technical and cross-functional teams, architecting and owning the full-stack technology platform - from front-end client-facing applications through back-end services to the underlying data and AI infrastructure.
You'll design and build robust, scalable, and reproducible platforms and pipelines for machine learning and production software, while ensuring information security standards are upheld across the stack. You'll manage large internal engineering teams, set technical direction, mentor senior and junior colleagues alike, and drive innovation within the QuantumBlack, AI by McKinsey Engineering community.
Partnering with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams and serving as the primary technical relationship owner for client engagements, you'll help create innovative, full-stack machine learning and software systems that accelerate AI adoption and solve business problems at speed and scale - enabling clients to achieve meaningful and lasting impact.
Your work will address real-world challenges across industries. You'll lead cross-functional Agile teams spanning Data Engineers, Full-Stack/Software Engineers, Data Scientists, and Machine Learning Engineers to deliver advanced analytics and software solutions. You will own the client relationship at a senior-stakeholder level - from data owners through C-level executives - architecting solutions that solve complex business problems and drive measurable value.
Your work offers an exceptional environment to grow as a technology leader - developing expertise at the intersection of technology, people leadership, and business, across a broad engineering scope that spans the full stack of client-facing software delivery, not just data engineering.
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.
  • 12+ years of relevant professional experience, including experience managing large engineering teams (multiple pods/squads, 20+ engineers) as a people leader - not only as a technical lead
  • Proven experience architecting and building full-stack platforms - front-end (e.g., React, Angular, TypeScript), back-end services and APIs, and data/AI infrastructure - for enterprise-scale, production use cases
  • Ability to scope multi-workstream programs, define technical roadmaps, and align engineering delivery to client business outcomes
  • Track record of directly managing and developing engineering managers and senior engineers, including performance management, hiring, and career development at scale
  • Expertise in distributed computing frameworks (e.g., Spark, Dask), cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and modern full-stack frameworks
  • Extensive senior client-facing experience - able to independently own and grow C-level and senior-executive client relationships, not just execute against a scope defined by others
  • Ability to write clean, maintainable, scalable, and robust code across the stack (front-end and back-end), and to set engineering standards and review practices for large teams
  • Exceptional time management and program leadership skills in a complex, largely autonomous, multi-team environment
  • Willingness to travel
  • Strong communication skills, both verbal and written, with the ability to represent engineering strategy to both technical and executive audiences

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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