Data Engineer - AI & Analytics Pipelines, Power BI

Bechtel Global Corporation

New Albany (OH)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

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

You will serve as a technical resource for data lake architecture, participate in data governance, and collaborate with engineering, IS&T, and project teams to deliver data-driven solutions that improve

Qualifications

  • Requires bachelor's degree (or international equivalent) and 5-8 years of relevant experience or 9-12 years of relevant work experience.

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 design
Python
Data lake
Power BI
APIs
Azure Databricks

Education

Bachelor's degree (or international equivalent)

Tools

Power BI
Azure Databricks
Delta Lake

Job description

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

You will serve as a technical resource for data lake architecture, participate in data governance, and collaborate with engineering, IS&T, and project teams to deliver data-driven solutions that improve

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