26 Professional ID Project Information Technology
BechtelAbout the role
Requisition ID: 297629
- Relocation Authorized: National - Family
- Telework Type: Part-Time Telework
- Work Location: Reston, VA
- Salary Range: $123,400 - $178,500 annually (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, Bechtel has 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. For over 70 years, Bechtel has been at the forefront of nuclear innovation delivering clean, reliable energy worldwide on over 150 nuclear power plants, adding more than 74,000 megawatts of nuclear generation capacity to the world. 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.
Project Overview:
Bechtel and Westinghouse Electric Company are in a joint consortium to deliver the first AP1000 nuclear power reactors in Poland for our customer, the Polish Entity Polskie Elektrownie Jadrowe (PEJ). Bechtel will be the Engineering, Procurement, and Construction (EPC) contractor for the project and have the responsibility to deliver a successful project to our client.
This is a one-of-a-kind opportunity, and we are looking for the talent that will help expand Poland’s nuclear base and build a strong and long-lasting energy future for generations to come.
Job Summary:
The Poland AP1000 Project is one of the largest and most ambitious infrastructure projects in Europe, bringing together world-class expertise, advanced technologies, and complex project delivery on a truly transformative scale. At the heart of this effort is a data-driven execution model where trusted information enables better decisions, improves efficiency, reduces risk, and drives project success. Central to this strategy is the Project's Common Data Environment (CDE), serving as the single source of truth for project information.
We are seeking a Sr. Analyst, Databricks and Reporting to join a dynamic and progressive Project Information Management team. This role offers a unique opportunity to shape how data is transformed into actionable insights across every aspect of project delivery. Working closely with leaders and subject matter experts across Safety, Quality, Engineering, Supply Chain, Construction, Project Controls, and Commissioning & Startup, you will help deliver the reporting, analytics, and data solutions that support one of the world's most significant nuclear construction projects.
This is an opportunity to build enterprise-scale analytics capabilities, influence project outcomes through data-driven decision making, and gain broad exposure to the full lifecycle of a mega project. You'll work alongside experienced professionals in a collaborative environment that encourages innovation, continuous learning, and professional growth.
If you’re ready to make a measurable difference and thrive in an environment where data is a catalyst for progress, the Poland AP1000 Project is where your next adventure begins. If you bring vision, enthusiasm for driving analytics and actionable insights through story-telling and excited by the opportunity to leave a lasting impact on a landmark project, we want to hear from you.
Location: This position is based out of the Bechtel offices in Reston, Virginia
Major Responsibilities:
- Extensive experience designing, deploying, and supporting enterprise analytics, reporting, and business intelligence environments that align with project execution objectives.
- Advanced experience with Databricks augmented with experience in Azure Data Lake, Azure Data Factory, or similar cloud-based analytics and data platforms.
- Experience leading data engineering initiatives and developing scalable data pipelines, integrations, and enterprise reporting platforms.
- Strong hands-on experience with Power BI, SQL, Python, Spark, Databricks notebooks, data modeling, ETL/ELT development, and large-scale data processing.
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