Big Data Engineer

Requisition ID: 291101 

  • Relocation Authorized: National - Family 
  • Telework Type: Full-Time Office/Project 
  • Work Location: Various Work Locations USA

 

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); electric vehicle (batteries, charging infrastructure, and production); synthetic materials; and data center 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.

Job Summary:

The Big Data Engineer will design, develop, and maintain Bechtel’s big data ecosystem to support advanced analytics and data-driven decision-making across engineering, procurement, and construction workflows. This role is pivotal in enabling scalable, secure, and efficient data solutions for projects in semiconductor, electric vehicle, advanced materials, and data center sectors. 

 

Job Dimensions:

  • Supervision Received: Reports to Digital Solutions Lead and works under general direction.
  • Supervision Exercised: May provide technical guidance to junior engineers or analysts.
  • Contacts: Frequent interaction with data scientists, project managers, IT teams, and business stakeholders.  #LI-MJ1

Major Responsibilities:

  • Design and implement big data architectures, including ingestion, processing, and modeling of heterogeneous data sources. 
  • Develop and maintain ETL/ELT pipelines for structured and unstructured data. 
  • Work closely with data scientists, analysts, and business SMEs to deliver actionable insights. 
  • Integrate big data solutions with Bechtel’s digital ecosystem and project execution platforms. 
  • Ensure data reliability, security, and compliance with Bechtel’s governance policies. 
  • Optimize data workflows for scalability and efficiency. 
  • Explore emerging technologies and frameworks to enhance data engineering capabilities. 
  • Support automation and advanced analytics initiatives across projects. 

Education and Experience Requirements:

  • Requires a bachelor’s degree in Computer Science, Data Engineering, or related field and 3-5+ years of experience in big data engineering roles. Must have 7-9 years of experience in big data engineering roles in lieu of degree. 

Required Knowledge and Skills:

  • Proficiency with big data cloud platforms (AWS, Azure) and tools such as Hadoop, Spark, Kafka. 
  • Strong skills in Python, SQL, and data modeling techniques. 

 

Preferred Qualifications:

  • Experience with containerization (Docker/Kubernetes) and CI/CD pipelines. 
  • Familiarity with data governance frameworks and enterprise data architecture. 
  • Knowledge of engineering and construction workflows is a plus. 

Total Rewards/Benefits:

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

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.

 

Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com