Data Engineer I

Freeport-McMoRan is a leading international mining company with headquarters in Phoenix, Arizona. We operate large, long-lived, geographically diverse assets with significant proven and probable reserves of copper, gold, and molybdenum. The company has a dynamic portfolio of operating, expansion and growth projects in the copper industry. Freeport-McMoRan is one of the world’s largest publicly traded copper producers, the world’s largest producer of molybdenum and a significant gold producer. We have a long and successful history of conducting our business in a safe, highly efficient and socially-responsible manner.

We have the assets, the talent, the drive and the financial strength to provide attractive and rewarding careers of our employees. We encourage you to take the time to explore the opportunity to advance your career at Freeport-McMoRan.

Please note: This position has the possibility to work remotely up to 100% of the time. The position will require occasional travel to the Phoenix corporate offices and/or site locations . This position may be performed anywhere in the U.S. except California, Connecticut, New Hampshire, Massachusetts, Michigan, Illinois, Kentucky and New York.  Additional states may be excluded from remote work based on business factors.  Should the positions shift to in-office work in the future, the company will offer relocation benefits at that time should the position meet the established eligibility for these benefits.

Description

You will be an independent contributor on a fast-growing Data Engineering team pursuing a vision of analytics-driven mining at Freeport. Your expertise in data engineering and software engineering will enable and empower our organization to build and deploy data driven solutions to production. At Freeport we understand that our data does not reach its full potential until it is analyzed, and insights effectively communicated to the enterprise. You will work in close collaboration with mining operations, subject matter experts, data scientists, and software engineers to develop advanced, highly automated data products. You will be a champion of DataOps, and agile practices; actively participating in project teams to drive value.

• Agile Project Work: Work in cross-functional, geographically distributed agile teams of highly skilled data engineers, software/machine learning engineers, data scientists, DevOps engineers, designers, product managers, technical delivery teams, and others to continuously innovate analytic solutions.
  • Design, develop, and review real-time/bulk data pipelines from a variety of sources (streaming data, APIs, data warehouse, messages, images, video, etc)
  • Follow established design patterns for data ingest, transformation, and egress
  • Develop documentation of Data Lineage and Data Dictionaries to create a broad awareness of the enterprise data model and its applications
  • Apply best practices within DataOps (Version Control, P.R. Based Development, Schema Change Control, CI/CD, Deployment Automation, Test Automation, Shift left on Security, Loosely Coupled Architectures, Monitoring, Proactive Notifications)
• Problem Solving/Project Management: Constructively challenge while soliciting participation in problem solving to enrich possible solutions.
• Architecture: Utilize modern cloud technologies and employ best practices from DevOps/DataOps to produce enterprise quality production Python and SQL code with minimal errors. Participate in regular code review sessions and collaboratively discuss opportunities for continuous improvement in all solutions.
• Self-Development: Flexibly seek out new work or training opportunities to broaden experience. Independently research latest technologies and openly discuss applications within the department.
• Perform other duties as requested.

Qualifications

Minimum Requirements:

• Bachelor’s degree in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and three (3) years of relevant work experience

OR

• Master’s 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 two 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
  • Knowledgeable Practitioner of data modeling
  • Experience applying software development best practices in data engineering projects, including Version Control, P.R. Based Development, Schema Chang