Data Engineer-Lead - Project Planning and Execution

DPR Construction; Charlotte (NC); On-site; USD 90,000 - 120,000; Full time

Job summary

DPR Construction is seeking a skilled Data Engineer in Charlotte, NC, to develop robust data solutions that support business goals. Responsibilities include designing data pipelines, collaborating with technical teams, and ensuring data quality.

The ideal candidate has over 4 years of experience with cloud platforms like Azure and is proficient in Python and SQL. If you enjoy problem-solving and teamwork, apply now to become part of our innovative construction team.

Qualifications

• Minimum of 4 years of experience as a Data Engineer.
• Strong hands-on expertise in Azure Data Factory and Python.
• Familiarity with modern data platforms like Snowflake.

Responsibilities

• Own data delivery by translating stakeholder needs into data solutions.
• Design and maintain robust data pipelines and ETL processes.
• Collaborate with data analysts and business users for accuracy.

Skills

Data Engineering experience

Python

Azure Data Factory

SQL

Stakeholder management

Data Modeling

Problem-solving

Communication skills

Tools

Azure Data Lake

Snowflake

Power BI

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.

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.