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Data Engineer

Verdesian Asia · Cary, North Carolina, United States

Biotechnology Research · 201-500 employees

Jul 14
Mid (2-5 yrs) Full-time United States
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About the role

Design, build, and maintain SQL-based data pipelines and database objects to ensure high performance and data accuracy. Manage data integrations, monitor workflows, and create PowerBI reports to support enterprise analytics.

What they look for

SQL Data Pipelines ETL SSIS PowerBI Data Modeling API Integration Database Optimization Excel SharePoint Salesforce Data Quality Troubleshooting Workflow Management

Requirements

Requires a Bachelor's degree in computer science or a related field and 1-3 years of experience in data engineering or a similar role. Proficiency in SQL, ETL tools like SSIS, and intermediate to expert Excel skills are essential.

Full description

Essential Responsibilities:

  • Design, build, and maintain SQL-based data pipelines to support reliable data extraction, transformation, and loading across enterprise systems.
  • Develop, update, and optimize database objects (views, stored procedures, functions, indexes) to ensure high performance and data accuracy for reporting and analytics.
  • Create and maintain PowerBI datasets, models, and reports, ensuring data is accurate, refreshed appropriately, and presented in a user-friendly manner.
  • Build and support data integrations between internal and external systems using APIs, flat files, or integration tools, ensuring secure and timely data exchange.
  • Monitor, troubleshoot, and document data workflows to ensure system reliability, resolve data quality issues, and provide ongoing operational support for reporting and analytics environments.
  • Effective time management and organization skills to succeed in fast-paced environment
  • Works well as a member of a team
  • Capable of carrying out a given task with all details necessary to get the task done well
  • Consistently introduce new ideas and demonstrate original thinking
  • Other duties as assigned

Qualifications:

  • 1 - 3 years’ experience as a data engineer, business systems analyst or a similar role (Required)
  • BS degree in computer science, information systems, or related field (Required)
  • Proficiency in SQL for data querying, transformation, and optimization.
  • Experience with ETL tools, preferably SSIS (or equivalent such as Mulesoft or Azure Data Factory).
  • Knowledge in SharePoint, Salesforce or similar CRMs, and Workflow software
  • Intermediate to expert level Excel skills

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:

While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee frequently is required to stand; walk; and stoop or kneel. The employee must regularly lift and/or move up to ten pounds, occasionally lift and/or move up to twenty pounds, and rarely lift and/or move more than twenty-five pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.