Software Engineer

Requisition ID: 282483 

•  Relocation Authorized: None 
• Telework Type: Part-Time Telework 
• Work Location: Glendale, AZ 

 

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.

 

Job Summary:

We are seeking a highly skilled and motivated Software Engineer specializing in Data Engineering to join our growing team. This critical role will focus on designing, developing, and optimizing our data infrastructure within the Azure cloud environment. The ideal candidate possesses a deep understanding of data engineering principles and extensive hands-on experience with Azure Data Lake, Azure Data Factory, Databricks, and SAP Business Objects. You will play a key role in building and maintaining robust data pipelines, ensuring data quality, and enabling data-driven insights for the business. This position requires a U.S. Citizenship due to project requirements.

#LI-LO1

This position is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership#LI-TN1

 

Major Responsibilities:

• Design, develop, and optimize scalable and efficient data processing pipelines and architectures within Azure Data Lake and Databricks, leveraging best practices for performance and maintainability.
• Implement and manage complex ETL (Extract, Transform, Load) processes to seamlessly integrate data from diverse sources (e.g., databases, APIs, streaming platforms) into Azure Data Lake, ensuring data quality and consistency.
• Develop and maintain interactive dashboards and reports using SAP Business Objects and Power BI, translating complex data into actionable business insights. Focus on performance optimization and data accuracy.
• Leverage Azure Data Factory for data orchestration, workflow automation, and scheduling, ensuring reliable and timely data delivery.
• Implement and maintain Azure Security & Governance policies, including access control, data encryption, and compliance frameworks, to ensure data protection and adherence to industry best practices.
• Optimize data storage and retrieval mechanisms within Azure, including performance tuning of Databricks clusters and Azure SQL databases, to improve query performance and scalability.
• Collaborate effectively with cross-functional teams (e.g., business analysts, data scientists, product managers) to understand business requirements, translate them into technical solutions, and communicate technical concepts clearly.
• Implement data quality checks and validation rules throughout the data pipeline to ensure data accuracy, completeness, and consistency.
• Monitor, troubleshoot, and enhance existing data solutions, proactively identifying