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Flatiron School

Apprenticeship, Data Engineer

Sorry, this job was removed at 10:25 p.m. (EST) on Monday, Feb 02, 2026
In-Office
New York, NY, USA
23-23 Annually
In-Office
New York, NY, USA
23-23 Annually

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About Flatiron School


As a leader in the tech industry, Flatiron School believes that education is the best investment you can make in your future. We’re committed to helping change lives and the world for the better. Our courses provide an immersive, outcomes-driven curriculum for students looking to launch a career in Software Engineering, Cybersecurity, Data Science, Artificial Intelligence and Game Design. In addition to student programs, we also offer targeted education solutions for organizations.


Our Mission: Enabling the pursuit of a better life through education


Our Values:

  • Make No Little Plans - Build for scale, create for the future, execute short-term goals in view of long-term strategy
  • Radiate Positivity - Be kind, have fun, find what to love
  • Strive for Excellence - Drive results, hold yourself and each other accountable to our shared goals
  • Be a Lifelong Learner - Embrace a growth mindset, be curious, get comfortable with being uncomfortable
  • Work Together - Collaborate, embrace transparency, empower others to succeed
  • Nurture Difference - Seek to understand, notice who or what is missing, actively seek out different opinions, create space for other voices to be heard

About the role


Flatiron School is offering a part-time, paid apprenticeship for a data engineer eager to gain real-world experience while growing their skill set across disciplines. This unique program combines part-time hands-on project work with a part-time, fully funded enrollment in Flatiron’s AI and Machine Learning part-time bootcamp course, valued at $14,900 in tuition costs.


As a data engineer apprentice, you’ll maintain data pipelines, automate workflows, collaborate with experienced engineers, and build your portfolio with production-ready work. At the same time, you’ll deepen your understanding of data and machine learning to become a more versatile, well-rounded AI Product Engineer.


This is a full-time opportunity, 40 hours/week (20 hours coursework and 20 hours apprentice work) for a 14 month program. This is a hybrid role requiring one day week in person in NYC. 


Whether you’ve completed a coding bootcamp or a Computer Science degree, this opportunity is designed to help you grow as both an engineer and a builder with cross-functional insight.


What you'll do

  • Attend and complete the Flatiron School Advanced AI & Machine Learning bootcamp as part of the apprenticeship (tuition waived)
  • Assemble and maintain clean data sets trusted and relied upon by every member of the organization for mission-critical decision-making
  • Write clean, maintainable and testable code using modern frameworks and tools
  • Support debugging, documentation, and QA processes
  • Collaborate on development of Flatiron School’s educational platform
  • Receive ongoing mentorship from senior developers and product leaders

What you'll learn

  • How engineering and data intersect in modern AI products
  • How to prioritize with real stakeholder needs and business strategy in mind
  • Practice agile development workflows in a collaborative environment
  • Best practices for writing clean, maintainable, production-quality code
  • How to apply software engineering principles to data challenges

Qualifications

Requirements:
  • Must be able to work in person in NYC at least one day a week
  • Must be currently living in the U.S.
  • Must be authorized to work in the U.S. We do not offer any visa sponsorship at this time
  • Must be available 40 hours/week to complete the Flatiron School Advanced AI and Machine Learning bootcamp and for apprenticeship work
  • Have a Bachelor’s in computer science or related field or completed a software engineering bootcamp
  • Successfully complete the Flatiron School Aptitude Assessment
  • Candidates must submit a cover letter with their application explaining why they're interested in the program as well as a link to their professional work.
Preferred Skills:
  • Experience automating data pipelines and building data sets via third-party APIs
  • Advanced SQL knowledge and experience working with relational databases
  • Proficient in Python
  • Experience with AWS cloud services: Lambda, Redshift, API Gateway
  • Experience with business intelligence tools like Looker or Tableau
  • Strong problem-solving skills related to working with unstructured datasets
  • Comfortable working cross-functionally with non-technical stakeholders
  • Accountability in managing time and meeting small milestones
  • Curiosity, initiative, and a strong desire to grow into a multidisciplinary developer

Compensation & Commitments

  • Hourly Pay: $23 hour (20 hours/week) plus $14,900 tuition waiver for bootcamp
  • 14 month commitment
  • Hours: 40 hours per week total - 20/week in apprenticeship role, 20/week in part-time bootcamp courses
HQ

Flatiron School New York, New York, USA Office

18 W 18th St, New York, NY, United States, 10011

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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