Data Engineer

3 weeks ago

Charlotte, United States AccruePartners Full time

THE TEAM YOU'LL BE JOINING

  • Large private equity-backed and highly acquisitive global construction company.
  • Current employee population of 7,000 associates and growing organically and through acquisition.
  • This role is essential for optimizing our HR systems, developing actionable insights, and supporting strategic initiatives through advanced analytics.
WHAT THEY OFFER YOU
  • Play a critical role in designing, developing, and maintaining scalable data pipelines and systems that support the HR analytics needs of the organization.
  • Work closely with data scientists and analysts to ensure that data is accessible, clean, and available for analysis, ultimately driving data-driven decision-making across HR functions.
  • Opportunity to shape the data architecture and infrastructure within a rapidly growing company, contributing to the integration of fragmented systems resulting from acquisitions.
  • This position offers the ability to build and optimize data solutions that have a direct impact on organizational success.
LOCATION:
South Charlotte, Hybrid 3-4 days in office
WHY THIS ROLE IS IMPORTANT:
  • Data Pipeline Development:
    Design, develop, and maintain robust data pipelines to collect, process, and store large volumes of data from multiple HR systems, including ADP and other related platforms.
  • Data Integration:
    Ensure seamless integration of data from disparate HR systems, enabling accurate and comprehensive analysis. Work on data migration projects and automate ETL processes.
  • Data Quality Management:
    Implement data validation, cleansing, and enrichment processes to ensure high-quality, reliable data is available for analysis and reporting.
  • Collaboration with Analysts:
    Partner with data analysts and data scientists to understand their data needs and develop solutions that facilitate complex analysis, reporting, and predictive modeling.
  • System Optimization:
    Continuously evaluate and optimize data architectures and processes to improve efficiency, scalability, and reliability.
  • Documentation and Best Practices:
    Document data workflows, maintain best practices for data engineering, and mentor junior team members on data engineering techniques.

THE BACKGROUND THAT FITS:
  • 5+ years of experience in data engineering, with a strong understanding of data architecture, ETL processes, and database management.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, Talend).
  • Experience with cloud-based data platforms (e.g., AWS, Azure) and data warehousing solutions.
  • Strong problem-solving skills, attention to detail, and ability to work in a fast-paced, collaborative environment.
#LI-HF1
#ONSITE

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