Job description

Requisition ID: 295959 • Relocation Authorized: National - Family • Telework Type: Full-Time Office/Project • Work Location: Houston, TX 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’s Manufacturing & Technology (M&T) Business Unit is designing and building an Active Pharmaceutical Ingredient (API) Manufacturing Facility located at Generation Park in Houston, TX. M&T is an exciting and growing business unit that serves customers in the semiconductor, datacenter, life sciences, and electric vehicle markets. M&T strives to exceed our customer objectives through utilizing our agility, innovative technologies, and world class talent. M&T solves the industry's toughest challenges, building both our company and the world for the future. Headquartered in Reston, Virginia, the M&T global business unit also includes colleagues working in Arizona, Ohio, Texas, India, and additional project locations around the world. 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. The PIIM Analytics Engineer position reports to the PIIM Analytics Lead under the PIIM team. The PIIM team is responsible for aggregating and analyzing project data, developing automated reporting processes and client-required reports, maintaining high quality and insightful analytics, and assisting with the managing records across the project. #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 lake. • 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. 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 Required Knowledge and Skills: • 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). 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

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Requisition ID: 295959
Relocation Authorized: National - Family
Telework Type: Full-Time Office/Project
Work Location: Houston, TX
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 .
Develop and maintain scalable data pipelines and workflows to ingest, transform, and provision data from multiple project systems into the analytics data lake.
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 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).

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Keywords to mirror

apiaimlsqlpythonazure

Platform: phenom
Effort: medium

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Vision