Data Engineer
Requisition ID: 291368
- Relocation Authorized: None
- Telework Type: Part-Time Telework
- Work Location: New Delhi
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.
Bechtel’s India offices support the execution of projects and services around the world. Working seamlessly with Bechtel’s global business units, project sites, customers, and suppliers, our teams have delivered more than 125 projects since 1994. With offices in Gurgaon, Vadodara, and Chennai there are exciting career opportunities for candidates who are passionate about delivering projects that make a lasting, meaningful difference for people and communities around the world.
Job Summary:
The Infrastructure AI and Data program is a cornerstone initiative designed to transform how our Global Business Unit (GBU) manages, governs, 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 combines technical leadership with hands-on data engineering, focusing on designing and optimizing data pipelines, improving performance, and contributing to data modeling and architecture decisions. The Data Engineer will work with the Data Solutions Architect and functional SMEs to deliver scalable, secure, and high-quality data solutions.
"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:
- Develop and maintain complex ETL/ELT pipelines to ingest and transform data from multiple sources into the UDP environment.
- Performance tuning and optimization of data workflows within Azure Databricks.
- Implement advanced data quality checks and validation routines to ensure integrity and consistency of datasets.
- Collaborate with data solutions architect and functional SMEs to understand data requirements and deliver solutions aligned with business needs.
- Contribute to data modeling and architecture decisions to support analytics and reporting needs.
- Support integration of structured and semi-structured data into the lakehouse architecture.
- Document processes and contribute to best practices for data engineering within the PIIM team.
- Mentor junior engineers and promote best practices in coding, testing, and documentation.
Education and Experience Requirements:
- Requires bachelor's degree (or international equivalent) and 5-8 years of relevant experience or 9-12 years of relevant work experience
- Bachelor’s degree in computer science or related field
- 5 years or more experience in data engineering or related role.
Required Knowledge and Skills:
- Strong proficiency in SQL and advanced experience with Python or Scala for data processing.
- Hands-on experience with cloud-based data platforms (Azure preferred).
- Solid understanding of data modeling, ETL/ELT processes, and performance optimization techniques.
- Ability to lead technical discussions and provide guidance on data engineering best practices.
- Ability to troubleshoot and optimize data workflows.
Preferred Qualifications
- Experience with Databricks or Spark-based environments, including optimization strategies.
- Familiarity with data governance tools and frameworks (e.g., Unity Catalog).
- Experience with JavaScript Full-Stack development environments including MongoDB or similar NoSQL databases
- Experience with CI/CD pipelines and version control (Git) for data workflows.
- Exposure to EPC industry data structures and standards.
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