PCA Data Engineer

Job Description
We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals.

In this role, you will be aligned with a specific business group and play a key part in supporting their data needs. You will work closely with engineers, business stakeholders, and cross-functional teams to design, develop, and maintain data pipelines that integrate, process, and manage data from various source, enabling business insights and enhancing operational efficiency. The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory, with a strong focus on data integration. You'll be part of a team that designs, builds, and operates data integrations across systems into a centralized data platform

Responsibilities

• Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems.
• Translate business requirements into technical requirements
• Create and maintain technical documentation related to data architecture, integration flows, and processes.
• Monitor and troubleshoot pipeline performance and reliability with minimal oversight
• Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet business needs while following best practices
• Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery.
• Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance.
• Participate in the code review, performance tuning and continuous improvements efforts
• Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions.
• Work with the extended data team to define, develop, and maintain shared data models and definitions.

Qualifications

• Minimum of 3 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS).
• Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL
• Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST).
• Experience with modern data platforms like Snowflake and Microsoft Fabric
• Solid understanding of Data Modeling, pipeline orchestration and performance optimization
• Strong problem-solving skills and ability to troubleshoot complex data issues.
• Excellent communication skills, with the ability to work collaboratively in a team environment and support business stakeholders
• Familiarity with tools like Power BI for data visualization is a plus.
• Experience working with or coordinating with overseas teams is a strong plus

Preferred Skills

• Knowledge of Airflow or other orchestration tools.
• Experience working with Git-based workflows and CI/CD pipelines
• Experience in the construction industry or a similar field is a plus but not required.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together—by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

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