Data Engineer-Lead - Project Planning and Execution

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.

This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations.

- Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. - Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. - Partner with the extended data team to define, develop, and maintain shared data models and definitions. - Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. - 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. - Support incident resolution and perform root cause analysis for data-related issues. - Create and maintain both business requirement and technical requirement documentation - Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. - Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns.

- Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). - Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. - 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. - Familiarity with tools like Power BI for data visualization is a plus. - Experience working with or coordinating with overseas teams is a strong plus

- 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.

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.