PIIM Analytics Engineer

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.

Bechtel Manufacturing and Technology (M&T) is an exciting and growing business that serves the increasing demand of EPC services for customers in the semiconductor (manufacturing facilities and supply chain); data centre, electric vehicle (batteries, charging infrastructure, and production); and life sciences markets.

M&T strives to exceed our customer objectives through utilizing our agility, innovative technologies, and world class talent. M&T will solve the industries toughest challenges, building both our company and the world for the future.

Headquartered in the U.S. with employees in various states, M&T also has colleagues in the United Kingdom, India, and other locations while we actively pursue exciting opportunities in other parts of the world. We are looking for talented people to join our team that are passionate about making a difference and contributing to historical projects that will have a lasting impact on society.

Bechtel is seeking an analytics engineer to design, build, and maintain scalable data pipelines and data integration solutions that support project execution. This role will manage data ingestion, transformation, and exchange across project systems and serve as a subject matter expert for the project's analytics data lake environment.

As part of a solutions-oriented team, the engineer will also support the implementation of applied AI/ML and low-code automation use cases, helping enable innovative, data-driven workflows across the project. The role will ensure reliable, high-quality data is available to support reporting, decision-making, and operational performance. #LI-SM2

• Develop and maintain scalable data pipelines and workflows to ingest, transform, and provision data from multiple project systems into the analytics data lak
• Manage data ingestion and exchange across tools, ensuring reliable, timely, and accurate data movement between systems
• Serve as the on-site subject matter expert for the analytics data lake environment, including data architecture, access patterns, performance optimization, and support for advanced analytics use cases
• Collaborate with project teams and system owners to define data requirements, onboard new data sources, and ensure seamless system integration
• Build and maintain ETL/ELT processes, optimize SQL data models, and deliver curated datasets for reporting and downstream applications
• Ensure data quality, consistency, and completeness across sources to enable trusted project reporting and analytics
• Support reporting solutions by delivering performant, well-structured datasets for tools such as Power BI
• Support the development and deployment of low- to medium-complexity AI/ML and agent-based solutions by preparing data, integrating models into workflows, and operationalizing outputs within project systems
• Enable data-driven solutions including automation and applied AI/ML use cases that enhance project execution and efficiency

• Requires bachelor's degree (or international equivalent) and 5-8 years of relevant experience or 9-12 years of relevant work experience

• Strong programming experience (Python, Scala, or equivalent) with a focus on data engineering and pipeline development.
• Experience building and maintaining data pipelines and workflows (batch and/or streaming). Strong SQL and data modeling experience in relational databases (e.g., MSSQL, PL/SQL).
• Experience integrating data across systems using APIs, services, or data exchange frameworks.
• Experience with cloud-based data platforms (e.g., Azure Databricks, data lakes, Delta Lake).
• Understanding of data architecture, partitioning strategies, and performance optimization.
• Experience supporting cross-functional teams in a project environment.
• Experience delivering datasets for BI tools such as Power BI.
• Experience with Azure Databricks and Delta Lake environments.
• Familiarity with data governance, access control, and data quality frameworks.
• Familiarity with applying AI/ML or low-code AI tools in production environments (e.g., integrating model outputs into data pipelines or workflows)

For decades, Bechtel has worked to inspire the next generation of employees 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

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.