PCA Data Engineer

DPR Construction

North Carolina

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

DPR Construction, located in North Carolina, is seeking a Data Engineer to design and maintain data pipelines that support our business goals. The role emphasizes collaboration with various teams to ensure data solutions align with business needs.

Ideal candidates will have at least 3 years of experience with Azure, Python, and SQL. Responsibilities include developing ETL processes and ensuring data quality and reliability.

Qualifications

  • Minimum 3 years of experience as a Data Engineer.
  • Hands-on expertise in Azure Data Factory and Azure Data Lake.
  • Strong problem-solving skills and ability to troubleshoot complex data issues.

Responsibilities

  • Design, develop, and maintain robust data pipelines and ETL processes.
  • Translate business requirements into technical specifications.
  • Monitor and troubleshoot pipeline performance and reliability.

Skills

Azure Data Factory
Python
SQL
Data modeling
Problem solving

Tools

Azure Data Lake
Snowflake
Power BI

Job description

Overview

DPR Construction is a forward‑thinking, self‑performing general contractor that specializes in complex and sustainable projects across technology, life sciences, healthcare, higher education and commercial markets. We are seeking a Data Engineer to design and maintain data pipelines that support our business goals.

Responsibilities
  • Design, develop, and maintain robust data pipelines and ETL processes using Azure Data Factory, Python and other relevant tools across internal and external systems.
  • Translate business requirements into technical specifications.
  • Create and maintain technical documentation for data architecture, integration flows, and processes.
  • Monitor and troubleshoot pipeline performance and reliability with minimal oversight.
  • Collaborate with engineers, delivery leads, and platform teams to ensure data solutions meet business needs and follow 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 participate in proactive/preventive maintenance.
  • Participate in code review, performance tuning, and continuous improvement efforts.
  • Work with data analysts, business users, and developers to ensure accuracy and efficiency of data solutions.
  • Collaborate with the extended data team to define, develop, and maintain shared data models and definitions.
Qualifications
  • Minimum 3 years of experience as a Data Engineer, working with cloud platforms such as Azure and AWS.
  • 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 and ability to work collaboratively in a team environment and support business stakeholders.
  • Familiarity with Power BI for data visualization is a plus.
  • Experience coordinating with overseas teams is a strong plus.
Preferred Skills
  • Knowledge of Airflow or other orchestration tools.
  • Experience with Git‑based workflows and CI/CD pipelines.
  • Experience in the construction industry or a similar field is a plus but not required.
Equal‑Opportunity Employer

DPR is an equal‑opportunity employer and prohibits discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national or ethnic origin, sex, age, disability, sexual orientation, gender identity, marital status, military service, medical history or genetic information, as required by law.

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