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Data Apprentice Jobs in Washington (NOW HIRING)

Engineering Apprentice (Hardware)

Manassas, VA ยท On-site

$123K - $163K/yr

An employee in the engineering apprenticeship program will perform a variety of duties in the sustainment of existing products to include: assisting with engineering documentation, technical data ...

Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques, and NGA digital data formats. Education: * Associate or Bachelor's degree ...

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Data Apprentice information

See Washington salary details

$13

$23

$36

How much do data apprentice jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data apprentice in Washington is $23.80, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $26.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Apprentice, and why are they important?

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 Washington? The most popular types of Data jobs in Washington are:
What cities in Washington are hiring for Data Apprentice jobs? Cities in Washington with the most Data Apprentice job openings:
Infographic showing various Data Apprentice job openings in Washington as of July 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 98% Physical, and 2% Hybrid job distribution, with an average salary of $49,503 per year, or $23.8 per hour.
AI/Data Science Training/Curriculum Developer (DoW SkillBridge)

AI/Data Science Training/Curriculum Developer (DoW SkillBridge)

IntelliGenesis LLC

Columbia, MD โ€ข On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago


Job description

AI/Data Science Training Manager/Curriculum Developer (DoW SkillBridge - Cybersecurity, Data Science, and Artificial Intelligence Focus)
The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. More information can be found here: https://skillbridge.osd.mil/index.htm
Eligibility Requirements:
  • Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
  • Served at least 180 days on active duty
  • Within 180 days of separation or retirement
  • Will receive an honorable discharge
  • Has taken any service TAPS/TGPS
  • Has attended or participated in an ethics brief within the last 12 months
  • Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship
Duration:
  • 90-180 days
Position Overview:
As a Training Manager / Curriculum Developer, you will support the design and delivery of technical training programs supporting Intelligence, Cyber, Data Science, and Artificial Intelligence (AI) professionals. You'll work closely with subject matter experts (SMEs), instructional designers, and leadership teams to create training that supports mission-critical national security efforts and advanced analytics capabilities. This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.
Position Requirements:
  • Must be a US Citizen
  • Active TS/SCI clearance/polygraph required
  • Must be able to report daily to Columbia, MD office
  • Strong understanding of IC mission, tools, and workflows
  • Experience in developing, modernizing, or delivering technical training
  • Familiarity with curriculum development methodologies and instructional systems design (ISD) principles
Minimum six (6) years of experience in one or more of the following fields:
  • Data Science / Data Analytics
  • Machine Learning / Artificial Intelligence
  • Signals Analysis
  • SIGINT Metadata Analysis
  • Cyber Threat Intelligence
  • Target Digital Network Analysis
  • Digital Network Exploitation Analysis
  • Malware Analysis
  • Cloud-based Data Pipelines
  • Conducting Network Vulnerability Assessments
Ideal Candidates Come From the Following Military Occupational Skill Communities:
  • Air Force: 1N4, 3D0, 3D1
  • Marine Corps: 2611, 2629, 1721
  • Army: 17C, 170A, 35N, 352N
  • Navy: CTN, CTR, IW Officers
Desired Training or Certifications:
  • Master Training Specialist (MTS)
  • Common Faculty Development-Instructor Course (CFD-IC)
  • Army Basic Instructor Course (ABIC)
  • Air Force Basic Instructor Course (BIC)
  • Adjunct Faculty (ADET, NCS, NCU)
  • AI/ML Certifications (e.g., Coursera, edX, or vendor-based certifications from AWS, Google, Microsoft)
  • Data Science Bootcamps or equivalent experience
Bonus Experience:
  • Familiarity with Jupyter Notebooks, Python, R, or SQL
  • Experience with data visualization tools (Power BI, Tableau, etc.)
  • Knowledge of DoD 8140 workforce frameworks, especially Data & AI Work Roles
  • Experience working with training accreditation processes (e.g., ISO 17024, ACE CREDIT, NCCET, etc.)
This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.
Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.