Data and AI Engineer II

At Freeport-McMoRan, we are committed to providing an employment package that recognizes excellence, encourages safe production and a culture supported by our core values. Here, you’ll find a collaborative environment where safety is a top priority, all opinions are valued, and people are empowered to grow in their career. Apply Today!        Where You Will Work     Our global headquarters is in Phoenix, Arizona. Several hundred employees support global operations in finance, human resources, information technology, planning and more from the main office, satellite offices or online. Employees working on a flexible schedule collaborate online and in-person at our Collaboration Hub at the Cotton Center in Phoenix. The Collaboration Hub provides an open, flexible workspace for individuals and teams to come together for various business needs. Amenities at the Hub include a working café, phone booths and meeting rooms with technology tools for virtual and in-person collaboration.     Phoenix is the capital of the Grand Canyon State and enjoys mostly bright skies throughout the year. It is the perfect place if you enjoy the outdoors, love sports, concerts and other big city amenities or technology. There are great neighborhoods around Phoenix, with easy access to a major city, nature, the arts and many more amenities.  What You Will Do 
 As the Data and AI Engineer II, you will serve as a project leader and independent contributor on a fast-growing Data Engineering team focused on analytics-driven mining. Your expertise in data and software engineering will enable the organization to build and deploy data- and AI-driven solutions to production while collaborating with mining operations, subject matter experts, data scientists, and software engineers. You will champion DataOps and agile practices to drive value across projects. Lead technical work within cross-functional, geographically distributed agile teams; design, develop, review, and maintain real-time and bulk data pipelines, feature stores, and vector stores; ensure adherence to design patterns; develop data lineage and data dictionary documentation; and apply DataOps best practices. Provide thought leadership in problem solving, challenge paradigms constructively, solicit input, and participate in R&D initiatives. Utilize Snowflake, Azure, and DevOps/DataOps/MLOps practices to deliver enterprise-quality Python and SQL solutions and identify optimization opportunities. Independently pursue training and research emerging technologies for departmental application. Perform other duties as requested. What You Bring To Freeport 
 Bachelor's degree in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and five (5) years of relevant work experience OR Master's in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and three (3) years of relevant work experience OR Ph.D. in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and one (1) year of relevant work experience Strong experience in at least three areas: Knowledgeable Practitioner of SQL development with experience designing high quality, production SQL codebases Knowledgeable Practitioner of Python development with experience designing high quality, production Python codebases Knowledgeable Practitioner in data engineering, software engineering, and ML systems architecture Hands-on experience building production data workloads in Snowflake, including warehouse and schema design, with awareness of the performance and cost implications of design choices Knowledgeable Practitioner of data modeling. Experience applying software development best practices in data engineering projects using GitHub and GitHub Actions, including Version Control, P.R. Based Development, Schema Change Control, CI/CD, Deployment Automation, Test Driven