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.
Description
You will be project leader and 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 as a project leader 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) while also coach jr. team members.
- Ensure the project team is following 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 Leadership: Provide thought leadership in problem solving to enrich possible solutions by constructively challenging paradigms and actively soliciting other opinions. Actively participate in R&D initiatives
- Architecture: Utilize modern cloud technologies and employ best practices from DevOps/DataOps to produce enterprise quality production Python and SQL code with minimal errors. Identify and direct the implementation code optimization opportunities during code review sessions and proactively pull in external experts as needed.
- 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 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) year 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
- Knowledgeable Practitioner of data modeling
- Experience applying software development best practices in data engineering projects, including Version Control, P.R. Based Development, Schema Change Control, CI/CD, Deployment Automation, Test Driven Development/Test Automation, Shift left on Security, Loosely Coupled Architectures, Monitoring, Proactive Notifications using Python and SQL
- Data science experience wrangling data, model selection, model training, modeling validation, e.g., Operational Readiness Evaluator and Model Development and Assessment Framework, and deployment at scale
Preferred Qualifications:
- Working knowledge of Azure Stream Architectures, DBT, Schema Change tools, Data Dictionary tools, Azure Machine Learning Environment, GIS Data
- Working knowledge of Software Engineering and Object Orient Programming Principles
- Working knowledge of Distributed Parallel Processing Environments such as Spark or Snowflake
- Working knowledge of problem solving/root cause analysis on Production workloads
- Working knowledge of Agile, Scrum, and Kanban
- Working knowledge of workflow orchestration using tools such as Airflow, Prefect, Dagster, or similar tooling
- Working knowledge with CI/CD and automation tools like Jenkins or Azure DevOps
- Experience with containerization tools such as Docker
- Strong verbal and written communication skills in English language
Criteria/Conditions:
- Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hart hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required.
- Freeport-McMoRan promotes a drug/alcohol-free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as allowed by applicable state laws
What We Offer You
The estimated annual pay range for this role is currently $102,000 - $143,000. This range reflects base salary only and does not include bonus payments, benefits or retirement contributions. Actual base pay is determined by experience, qualifications, skills and other job-related factors. This role is eligible for additional incentive compensation considerations based on company and individual performance. Additionally, this position is currently eligible for annual long-term incentive consideration. Long-term incentives are contingent upon authorized approval under the terms and conditions of the Company's plan and award agreements. More details will be shared during the hiring process. Click here to view a sample of Total Rewards Estimate for this role.
- Affordable medical, dental and vision benefits
- Company-paid life and disability insurance
- 401(k) plan with employer contribution/match
- Paid time off, paid sick time, holiday pay, parental leave
- Tuition assistance
- Employee Assistance Program
- Discounted insurance plans for pet, auto, home and vehicle
- Internal progression opportunities
- Learn more about our competitive and comprehensive benefits package!
What We Require
- Candidates may be required to pass a medical exam.
- Candidates must pass all required training and/or testing.
- Employees may be required to work a non-standard schedule, which may include shift work (other than day shift) at a 24/7, 365-day operation.
- Freeport-McMoRan promotes a drug/alcohol-free work environment using mandatory pre-employment drug testing and on-going drug and alcohol testing, as allowed by applicable laws.
Equal Opportunity Employer
Please be advised that Freeport-McMoRan will never request payment for job-related expenses from applicants. If you receive any suspicious emails, please disregard them, and report the incident to HRSC@fmi.com.
