The RoleFrom 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 scalable architectures for enterprise data, analytics, machine learning, and AI solutions.
- Remain hands-on in the development of Python, SQL, data pipelines, APIs, and production applications.
- Design and build integrations across ERP, manufacturing, operational, commercial, finance, and other enterprise systems.
- Develop APIs and services using Python frameworks such as FastAPI.
- Establish architecture and engineering patterns for productionizing forecasting, optimization, machine learning, and AI solutions.
- Develop and promote MLOps and software engineering practices including CI/CD, automated testing, model deployment, monitoring, and observability.
- Define reusable patterns for integrating models and AI capabilities into business applications and workflows.
- Partner directly with manufacturing and business teams to understand operational processes and translate them into technical solutions.
- Help establish standards for data modeling, data quality, security, governance, integration, and platform architecture.
- Evaluate technologies and architecture decisions based on scalability, maintainability, cost, and business value.
- Mentor data engineers, analytics engineers, data scientists, and analysts and raise engineering standards across the team.
- Support modernization and simplification of legacy data and analytics systems.
- Periodically travel to CNG manufacturing locations to support high-value operational and manufacturing initiatives.
What You'll BringEssential Qualifications:- 8+ years of experience across data architecture, data engineering, machine learning engineering, software engineering, data science, or related technical disciplines.
- Strong hands-on Python and SQL experience.
- Demonstrated experience designing and delivering production data and/or ML systems.
- Experience with modern cloud data platforms and enterprise data architecture.
- Experience designing APIs, services, or integrations between analytical platforms and business applications.
- Understanding of modern software engineering practices including Git, CI/CD, automated testing, monitoring, and deployment.
- Experience leading complex technical initiatives and mentoring technical professionals.
- Ability to communicate effectively with both technical teams and senior business stakeholders.
Compensation & BenefitsTotal 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
- Tuition reimbursement
- 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.
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