PCA Data Engineer at DPR Construction

Tampa, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Python, Azure Data Factory, SQL, Data Integration, Data Modeling, Pipeline Orchestration, Performance Optimization, Problem-Solving, Communication, Data Quality, Debugging, Collaboration, Power BI, Airflow, Git

Industry

Construction

Description

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. Explore our open opportunities at www.dpr.com/careers. The DPR family of companies is closing the gap between design and construction with an integrated collection of products and services to build smarter, move faster and achieve strong results. Our approximately 11,000 employees share a commitment to growth, innovation and building great things—great teams, great careers and great projects that change the world. DPR is an equal opportunity employer and prohibits discrimination and harassment of any kind. All employment decisions at DPR are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national or ethnic origin, sex (including pregnancy), age, physical or mental disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, medical history or genetic information, or any other status protected by the laws or regulations in the locations where we operate. DPR will not tolerate discrimination or harassment based on any of these characteristics. Read more in our EEOE Policy. If you require a reasonable accommodation to complete this application or any step in the process: In the US, call Human Resources at 650-474-1450 In Europe, email EuropeRecruitment@europe.dpr.com If you are seeking information on how DPR protects applicant data, please review our Privacy Policy.

Responsibilities

Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python. Collaborate with engineers and business stakeholders to ensure data solutions meet business needs.