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, 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 BringEssential 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.
- Strong Python development experience.
- 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.
- Experience developing or integrating REST APIs.
- 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.
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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