PIIM Analytics Engineer

Location: Clay

** Requisition :  295318*
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** Relocation Authorized:  National - Family*
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** Telework Type:
Full-Time Office/Project*
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* Work Location:

Clay, NY*
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** Hourly Range: 43.75 - 66.73 hourly (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.)*
* # 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:

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.

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Job Summary:

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

# Major Responsibilities:

+ 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…