Data Engineer-Lead Project Planning and Execution

Raleigh, WV - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

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.

Responsibilities

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.

Qualifications

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

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 youll have the chance to try new things explore unique paths and shape your future. Here we build opportunity togetherby 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

Job DescriptionWe 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 tal...

Job Description

Responsibilities

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.

Qualifications

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

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.

Explore our open opportunities at