Senior Data/AI Engineer

Charter Next Generation, Inc.

Chicago, Northern (IL, KY)

Hybrid

USD 110,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Employee Ownership
Health benefits
Holiday pay
Paid vacation
401(k) with match
Performance-based bonuses
Career advancement across facilities

Job summary

Charter Next Generation, Inc. is seeking an experienced data/ML engineer to design and maintain scalable data pipelines and analytics products. You will transform data across ERP, manufacturing, supply chain, and finance, building Python apps and APIs with Snowflake/dbt-driven models.

The role emphasizes productionizing ML/AI solutions, CI/CD practices, and collaboration with cross-functional teams to deliver impactful data-driven outcomes.

Qualifications

  • 5+ years of experience in data engineering, ML engineering, software engineering, analytics engineering, or related technical fields.
  • Advanced degree in CS, engineering, data science, statistics, ML, or related quantitative discipline is a plus.
  • Proficient SQL and experience with analytical data models and ETL/ELT pipelines.

Responsibilities

  • Design, build, test, and maintain scalable data pipelines and analytical data products.
  • Develop data transformations and models using SQL, Python, Snowflake, and dbt.
  • Integrate data from ERP, manufacturing, supply chain, finance, and other enterprise systems.
  • Build Python applications, APIs, and data services using FastAPI.
  • Productionize ML, forecasting, optimization, and AI solutions.
  • Develop batch and real-time data integration patterns for downstream systems.
  • Implement automated testing, monitoring, and data-quality controls.
  • Apply CI/CD and modern software engineering practices for data/AI solutions.
  • Use Infrastructure as Code to create repeatable environments and deployments.
  • Collaborate with data scientists, analysts, engineers, and stakeholders to translate requirements into scalable solutions.

Skills

Data engineering
ML engineering
Software engineering
Analytics engineering
Advanced SQL
ETL/ELT pipelines
Cloud data platforms
Git & CI/CD
Code reviews

Education

Advanced degree preferred

Tools

Snowflake
dbt
Python
FastAPI

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Salary Chicago, IL, US

At CNG, we are owners. We empower every individual to make a significant impact — because every moment matters. Whether you’re starting your career journey or aiming for the next level, we foster a supportive environment where your contributions are valued and celebrated.

Why Join CNG?
  • Employee Ownership: Every employee receives equity shares, enabling you to participate in our company's growth and prosperity.
  • Work-Life Balance: We support true work-life integration for all CNG employee owners.
  • Career Growth: Advance your career within our expanding network of manufacturing facilities with comprehensive training and development programs.
  • Purpose-Driven Work: Help create sustainable packaging solutions that reduce food waste and protect our environment for future generations.
The Role

From supporting internal teams to developing next-gen materials, our professional roles span strategy, innovation, and purpose. At CNG, you’ll do work that matters—and own it all.

Schedule : Hybrid, Business Hours

What You'll Do
  • Design, build, test, and maintain scalable data pipelines and analytical data products.
  • Develop data transformations and models using SQL, Python, Snowflake, and dbt.
  • Integrate data from ERP, manufacturing, supply chain, commercial, finance, and other enterprise systems.
  • Build Python applications, APIs, and data services using frameworks such as FastAPI.
  • Productionize machine learning, forecasting, optimization, and AI solutions.
  • Develop batch and real-time patterns for integrating data and models with downstream applications.
  • Build and maintain automated testing, monitoring, and data-quality controls.
  • Implement CI/CD and modern software engineering practices for data and AI solutions.
  • Use Infrastructure as Code and automation to create repeatable, maintainable environments and deployments.
  • Partner with data scientists, analysts, engineers, and business stakeholders to translate business requirements into scalable technical solutions.
  • Support ML lifecycle management including deployment, monitoring, versioning, and retraining.
  • Help develop reusable engineering patterns for Generative AI and AI-enabled applications.
  • Diagnose and resolve performance, reliability, and data-quality issues across production systems.
  • Contribute to code reviews, technical standards, documentation, and mentoring across the team.
What You’ll Bring
Essential Qualifications:
  • 5+ years of experience in data engineering, machine learning engineering, software engineering, analytics engineering, or a related technical field.
  • Advanced degree in computer science, engineering, data science, statistics, machine learning, or a related quantitative discipline is a plus.
  • Advanced SQL skills and experience working with analytical data models.
  • Experience building ETL/ELT pipelines and integrating multiple data sources.
  • Experience with modern cloud data platforms.
  • Strong understanding of software engineering practices including Git, automated testing, CI/CD, and code review.
  • Demonstrated ability to take technical solutions from development through production.
Total Rewards:
  • Employee Ownership – Become a company owner day 1!
  • Full medical, dental, and vision insurance upon hire
  • Holiday Pay
  • Paid vacation
  • 401(k) with company match
  • Performance-based bonuses
  • Career advancement opportunities across 18+ facilities
Ready to Own Your Future?

Join a team where every voice matters, every contribution counts, and every employee shares in our success.

Charter Next Generation is an Equal Opportunity Employer committed to creating an inclusive environment for all employees.

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