**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 and resolving performance bottlenecks and data quality issues.

+ Create and maintain comprehensive technical documentation, including design specifications, data flow diagrams, and operational procedures, to facilitate knowledge sharing and team collaboration.

# Education and Experience Requirements:

+ Bachelor’s degree in computer science, Engineering, or a related field and 2-5 years of experience or 5+ years of relevant work experience.

+ Must be a U.S. Citizen.

# Required Knowledge, Skills, and Abilities:

+ 4+ years of hands-on experience in data engineering, data warehousing, and cloud-based data platforms.

+ Deep expertise in Azure Data Lake, Azure Data Factory, Azure Security & Governance, Databricks, and SAP Business Objects.

+ Strong proficiency in SQL, including complex query writing, query optimization, and performance tuning.

+ Proven experience in developing and maintaining Power BI dashboards and reports.

+ Hands-on experience with Azure services such as Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage.

+ Solid understanding of data modeling concepts, ETL processes, and big data frameworks (e.g., Spark).

+ Experience in optimizing and managing large-scale datasets in cloud environments.

+ Experience developing and maintaining ETL packages using SSIS and reports using SSRS.

+ Strong analytical and problem-solving skills with a keen attention to detail.

+ Excellent communication and collaboration skills.

+ Master's degree in a relevant field.

+ Familiarity with machine learning models and data science concepts.

+ Understanding of DevOps practices and CI/CD pipelines for data applications.

+ Experience with data governance tools and frameworks.

+ Experience with other cloud platforms (e.g., AWS, GCP).

# Total Rewards/Benefits:

For decades, Bechtel has worked to inspire the next generation of engineers 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.com/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_** **[email protected]**