Data Engineer-Lead - Project Planning and Execution

Dormont Manufacturing Co; Raleigh (NC); On-site; USD 80,000 - 100,000; Full time

Job summary

Dormont Manufacturing Co is searching for a skilled Data Engineer to enhance data solutions that align with business goals. You will be responsible for data delivery and collaborate with cross-functional teams to ensure efficient operations and high-quality data solutions.

The ideal candidate will have at least 4 years of experience in cloud environments, especially with Azure and Python, and the ability to address complex data challenges through strong communication and collaboration.

Qualifications

• Minimum 4 years of experience as a Data Engineer with cloud platforms.
• Strong hands-on expertise in Azure Data Factory, Python, and SQL.
• Strong problem-solving skills and ability to troubleshoot complex data issues.

Responsibilities

• Own data delivery for specific business verticals.
• Participate in requirements gathering and design reviews.
• Create and maintain business and technical requirement documentation.

Skills

Azure Data Factory

Python

SQL

Data Lake

Data Modelling

ETL processes

Communication

Problem-solving

Education

4+ years as a Data Engineer

Tools

Azure

AWS

Power BI

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.