PIIM Data Engineer: Data Pipelines, AI & Analytics

Bechtel Corporation; New Albany (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Bechtel Manufacturing and Technology seeks a PIIM Data Engineer to design, build, and maintain the project's analytics data environment. You will develop scalable data pipelines, integrate data across project systems, and create trusted datasets for reporting, analytics, automation, and AI capabilities.

You will support data quality, governance, and data-driven solutions across modules, enabling better project execution and decision making with Power BI and related tools.

Qualifications

• Requires bachelor's degree (or international equivalent) and 5-8 years of relevant experience or 9-12 years of relevant work experience.
• Strong SQL and data modeling experience in relational databases.
• Experience designing, building, and maintaining ETL/ELT solutions.
• Experience developing and supporting data pipelines and workflows.
• Programming experience in Python for data transformation, preparation, and pipeline development.
• Understanding of data lake architectures and modern analytics platforms.
• Experience with Power BI datasets, reporting architectures, and analytics solutions.
• Knowledge of data quality management, validation, and governance principles.
• Experience integrating data across multiple systems using APIs and data exchange frameworks.

Responsibilities

• Develop and maintain scalable data pipelines and workflows to ingest, transform, and provision data from multiple project systems into the project analytics data lake.
• Manage data ingestion and exchange across tools, ensuring reliable, timely, and accurate movement of data between systems.
• Serve as the project subject matter expert for the analytics data lake environment, including data architecture, access patterns, performance optimization, and advanced analytics support.
• Collaborate with project teams and system owners to define data requirements, onboard new data sources, and support system integrations.
• Build and maintain ETL/ELT processes and optimize SQL data models.
• Develop curated datasets to support reporting, dashboards, analytics, and downstream applications.
• Ensure data quality, consistency, and completeness across project systems.
• Support reporting platforms by delivering performant datasets for Power BI and other analytics tools.
• Support the development and deployment of AI, machine learning, and agent-based solutions by preparing data and operationalizing outputs into project workflows.
• Enable automation and data-driven solutions that improve project execution, productivity, and decision making.
• Support governance, security, and lifecycle management of project data assets.
• Partner with PIIM, IS&T, Automation, Engineering, Construction, Quality, and Project Controls teams to improve data accessibility and integration.

Skills

SQL & Data Modeling

ETL/ELT pipelines

Python

Power BI

Azure Databricks

Delta Lake

APIs & Data Exchange

Data Lake Architecture

AI/ML concepts

Education

Bachelor's degree

Tools

Power BI

SQL Databases

Delta Lake

Job description

Bechtel Manufacturing and Technology seeks a PIIM Data Engineer to design, build, and maintain the project's analytics data environment. You will develop scalable data pipelines, integrate data across project systems, and create trusted datasets for reporting, analytics, automation, and AI capabilities.

You will support data quality, governance, and data-driven solutions across modules, enabling better project execution and decision making with Power BI and related tools.