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Title:  Data Engineer I

Requisition ID:  102723
Location: 

Phoenix, AZ, US, 85004-2121

Category:  Information Systems
Description: 

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 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

Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others.  Accordingly, the Company has designated the following positions as safety-sensitive:

  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose "motor vehicles" includes Company owned or leased motor vehicles and personal vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.

Equal Opportunity Employer/Protected Veteran/Disability


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