Data Engineer

Bechtel is a global engineering, construction, and project management company with more than a century of experience delivering complex infrastructure and technology projects worldwide. The Data Engineer role supports Bechtel’s Infrastructure AI and Data program by designing and optimizing scalable data pipelines. This position focuses on enabling advanced analytics and AI-driven insights through high-quality, secure, and performance-optimized data solutions.

The Data Engineer supports Bechtel’s Infrastructure AI and Data program by designing, building, and optimizing scalable data pipelines that enable analytics, reporting, and AI-driven insights. This role blends hands-on data engineering with technical collaboration, contributing to data architecture decisions while ensuring data quality, performance, and reliability across enterprise platforms.

Responsibilities:
- Design, develop, and maintain complex ETL and ELT pipelines ingesting data from multiple sources
- Optimize data workflows and performance within Azure Databricks environments
- Implement robust data quality checks, validation rules, and monitoring processes
- Collaborate with data architects and functional subject matter experts to gather requirements
- Contribute to data modeling and lakehouse architecture decisions for analytics use cases
- Document data engineering processes and promote best practices across the team

Requirements:
- Bachelor’s degree in computer science or a related field
- 5 or more years of experience in data engineering or a related role
- Strong proficiency in SQL and advanced experience with Python or Scala
- Hands-on experience with cloud-based data platforms, preferably Microsoft Azure
- Solid understanding of data modeling, ETL/ELT processes, and performance tuning
- Ability to troubleshoot complex data workflows and guide technical discussions

Benefits:
- Opportunity to work on global infrastructure and engineering programs
- Exposure to advanced analytics, AI, and enterprise-scale data platforms
- Collaborative environment with global teams and technical experts
- Strong focus on career growth, learning, and long-term professional development

This role offers the opportunity to help shape enterprise data capabilities that support large-scale, mission-critical projects worldwide.