Data Engineer-Lead - Project Planning and Execution

DPR Construction; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

DPR Construction is seeking a talented Data Engineer in Austin, Texas to develop data solutions that drive efficiency and insights. The ideal candidate will have at least 4 years of experience with Azure Data Factory, Python, and SQL. Responsibilities include managing data pipelines, collaborating with global teams, and ensuring data quality. This role offers a great opportunity to work in a leading construction company integrating innovative technologies into their processes.

Qualifications

• Minimum of 4 years of experience as a Data Engineer with cloud platforms.
• Strong hands-on expertise in Azure Data Factory, Python, and SQL.
• Familiarity with cloud storage and integration techniques is required.

Responsibilities

• Own data delivery for specific business verticals by translating stakeholder needs.
• Design, develop, and maintain robust data pipelines and ETL processes.
• Collaborate with data analysts, business users, and developers to ensure accuracy.

Skills

Azure Data Factory

Python

SQL

Azure Data Lake

Data Modeling

Debugging

Problem-solving skills

Communication skills

Data visualization (Power BI)

Cloud platforms (Azure, AWS)

Tools

ETL processes

Snowflake

Microsoft Fabric

Airflow

Git-based workflows

Job 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.

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.