AI Specialist

Extraordinary teams building inspiring projects:

Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place. 

Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations. 

Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.

Project Overview:

Increasing production of critical minerals provides key components of clean energy technologies, from wind turbines to batteries. This shift to clean energy—and the need for commodities—is critical to underpinning the energy transition. At Bechtel, our teams extract these vital resources to support net zero in a way which is more sustainable than ever before.

Job Summary:

The M&M AI and Data program is a cornerstone initiative designed to transform how our Global Business Unit (GBU) manages, govern, and leverages data to drive innovation and operational excellence. As we scale digital capabilities across complex engineering and delivery environments, the ability to harness data effectively is critical to enabling advanced analytics, AI-driven insights, and seamless collaboration across diverse stakeholders.

This role is primarily execution-focused, supporting data ingestion, transformation, and quality processes under the guidance of senior data engineers and the Data Solutions Architect. The Data Engineer will help ensure data is accurate, timely, and accessible for analytics and reporting, contributing to Bechtel’s digital transformation journey while developing technical skills in modern data engineering practices.

"This position is designated as part-time telework per our global telework policy and may require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership”.

Major Responsibilities:

Grade 23

• Developing and maintaining ETL/ELT pipelines to ingest and transform data from multiple sources into the UDP environment.
• Collaborating with data solutions architect and functional SMEs to understand data requirements and deliver solutions aligned with business needs.
• Implementing data quality checks and validation routines to ensure integrity and consistency of datasets.
• Optimizing data workflows for performance and scalability within Azure Databricks.
• Documenting processes and contributing to best practices for data engineering within the PIIM team.

Grade 24

• Developing and maintaining ETL/ELT pipelines to ingest and transform data from multiple sources into the UDP environment.
• Collaborating with data solutions architect and functional SMEs to understand data requirements and deliver solutions aligned with business needs.
• Implementing data quality checks and validation routines to ensure integrity and consistency of datasets.
• Optimizing data workflows for performance and scalability within Azure Databricks.
• Documenting processes and contributing to best practices for data engineering within the PIIM team.

Education and Experience Requirements:

Grade 23:

• Requires Bachelor’s degree in computer science or related field with 3-5 years of experience in data engineering or related role.

Grade 24:

• Requires Bachelor’s degree in computer science or related field with 5-8 years of experience in data engineering or related role.

Required Knowledge and Skills:

Grade 23:

• Proficiency in SQL and experience with Python or Scala for data processing.
• Understanding of data modeling concepts and ETL/ELT processes.
• Ability to troubleshoot and optimize data workflows.
• Exposure to Databricks or Spark-based environments.
• Experience with data governance tools and practices.
• Knowledge of version control (Git) and CI/CD for data pipelines.
• Awareness of EPC industry data structures and standards.

Grade 24:

• Proficiency in SQL and experience with Python or Scala for data processing.
• Familiarity with cloud-based data platforms (Azure preferred).
• Understanding of data modeling concepts and ETL/ELT processes.
• Ability to troubleshoot and optimize data workflows.
• Exposure to Databricks or Spark-based environments.
• Experience with data governance tools and practices.
• Experience with JavaScript Full-Stack development environments including MongoDB or similar NoSQL databases
• Knowledge of version control (Git) and CI/CD for data pipelines.
• Awareness of EPC industry data structures and standards.

Total Rewards/Benefits:

For decades, Bechtel has worked to inspire the next generation of engineers and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards.

Diverse teams build the extraordinary:

As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.

We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.