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Python Apprenticeship Jobs (NOW HIRING)

The point of the apprenticeship is that in twelve months you are operating as an engineer, not as ... Comfortable in at least one language, ideally Python or TypeScript, and able to read code in others ...

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How much do python apprenticeship jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python apprenticeship in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Python apprenticeship?

A Python Apprenticeship is an entry-level position designed to provide hands-on experience in Python programming while working under the guidance of experienced developers. Apprentices typically learn software development best practices, debugging, and working with frameworks or libraries commonly used in the industry. This role is ideal for individuals looking to gain real-world coding experience, improve their problem-solving skills, and prepare for a full-time software development career.

What are the key skills and qualifications needed to thrive in a Python apprenticeship?

To thrive in a Python Apprenticeship, you should have a foundational understanding of Python programming, basic knowledge of algorithms, and a genuine interest in software development. Familiarity with tools like Git, code editors (such as VS Code), and exposure to version control systems is often expected, although formal certifications are not always required. Strong problem-solving skills, eagerness to learn, and effective communication abilities help you stand out in this role. These skills are important because they enable you to quickly adapt, collaborate with team members, and efficiently contribute to real-world coding projects.

What kind of mentorship and support can I expect during a Python apprenticeship?

As a Python Apprentice, you will typically receive direct mentorship from experienced developers who will guide you through hands-on coding tasks, pair programming sessions, and code reviews. You'll often collaborate within a team environment, participating in scrums or regular check-ins to discuss progress and challenges. Most programs offer structured learning plans, regular feedback, and opportunities to work on real-world projects, ensuring you build both technical skills and professional confidence. This supportive structure is designed to help you transition smoothly into more advanced software development roles.

Is Python still in demand?

Python remains highly in demand for roles like Python Apprenticeships, as it is widely used in data analysis, web development, automation, and machine learning. Employers value Python skills due to its versatility, large community, and extensive libraries, making it a strong choice for entry-level and advanced programming positions.

What cities are hiring for Python Apprenticeship jobs?

Cities with the most Python Apprenticeship job openings:

What are the most commonly searched types of Python Apprenticeship jobs?

The most popular types of Python Apprenticeship jobs are:

What states have the most Python Apprenticeship jobs?

States with the most job openings for Python Apprenticeship jobs include:

Infographic showing various Python Apprenticeship job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Senior Research Fellow - Apprenticeship & Workforce Policy

AlphaHire

Remote

Contractor

Posted 7 days ago


Job description

Workforce Intelligence Lab (WIL) is building a research network focused on workforce policy, labor-market measurement, infrastructure workforce capacity, and causal policy evaluation.
We are seeking a Senior Research Fellow - Apprenticeship & Workforce Policy to support current and future externally funded research examining how apprenticeship policy, employer incentives, and workforce-development interventions affect participation, completion, labor supply, wages, and employer demand.
This opportunity is particularly relevant to researchers with experience in registered apprenticeship, labor economics, workforce development, Career Pathways, employer hiring incentives, or state workforce policy.
Current Research Opportunity
WIL is currently developing a quasi-experimental study examining whether state policies that incentivize employers to participate in registered apprenticeship programs produce measurable changes in apprenticeship outcomes and skilled-workforce capacity.
Potential research responsibilities may include:
  • refining the research question and causal estimand;
  • evaluating treatment and comparison-group design;
  • Difference-in-Differences, event-study, synthetic-control, or related quasi-experimental analysis;
  • working with RAPIDS / Apprenticeship.gov and other administrative datasets;
  • integrating BLS, Census, state workforce, and labor-market data;
  • reviewing methodology and threats to identification;
  • contributing to grant proposals and pre-analysis plans;
  • conducting or supervising empirical analysis if the project is funded;
  • contributing to academic manuscripts, research reports, and policy publications.
Ideal Background
We are particularly interested in candidates with experience in one or more of the following:
  • registered apprenticeship or apprenticeship policy;
  • workforce development or Career Pathways;
  • labor economics or applied microeconomics;
  • employer hiring or workforce incentives;
  • education-to-workforce transitions;
  • state or federal workforce policy;
  • quasi-experimental policy evaluation;
  • administrative labor-market data.

Strong methodological experience may include:
  • Difference-in-Differences;
  • modern event-study methods;
  • synthetic control;
  • regression discontinuity;
  • instrumental variables;
  • panel-data methods;
  • causal inference.

Experience with datasets such as RAPIDS, CPS, ACS/PUMS, QWI/LEHD, OEWS, QCEW, or other Department of Labor/Census administrative data is especially relevant.
Requirements
Preferred candidates will have:
  • Ph.D. or advanced doctoral training in economics, public policy, sociology, education, statistics, or a related quantitative field;
  • demonstrated applied research experience;
  • experience working with large administrative or longitudinal datasets;
  • proficiency in R, Stata, Python, SQL, or comparable research tools;
  • strong written communication and methodological judgment.

Academic affiliation is welcome but not required. We care more about research quality, methodological fit, and the ability to execute rigorous work than institutional prestige.
Benefits
This is a project-based research opportunity, not a guaranteed salaried appointment.
Initial participation may include limited research-design, methodology, literature-review, or proposal-development work. Larger research engagements are expected to be contingent upon external grant or sponsored-project funding.
Depending on experience and project requirements, selected researchers may be considered for roles such as:
  • Senior Research Fellow
  • Methods Lead
  • Co-Investigator
  • Principal Investigator / Co-Principal Investigator
  • Research Consultant

Any funded role, scope, compensation, institutional involvement, or formal appointment would be established separately.
About Workforce Intelligence Lab
Workforce Intelligence Lab is an independent nonprofit research organization focused on improving how workforce capacity, labor-market change, hiring demand, compensation pressure, and workforce execution risk are measured and understood.
WIL works with researchers, academic institutions, industry experts, and data partners to produce evidence-driven research intended to support public policy, workforce planning, infrastructure development, and better labor-market decision-making.
Researcher Network
Applicants may also elect to be considered for future WIL research, grant, publication, and sponsored-project opportunities aligned with their expertise.