Field Data Manager (Civil) - On-Site Data Leader

RADISE International

West Palm Beach (FL)

On-site

USD 75,000 - 110,000

Full time

8 days ago
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Benefits offered by this job

Health insurance
Retirement plans
Professional development
Innovative workplace

Job summary

Smart Structures is seeking a Field Data Manager with a strong civil engineering background to oversee the Data Management System, develop and optimize data, and ensure data integrity on construction sites.

This role requires extensive experience in construction data management, hands-on database work, and the ability to coordinate with engineers, technicians, and other teams to transfer data from field CSVs and documents into the database.

Qualifications

  • Bachelor's degree in Civil Engineering or related field.
  • Minimum 5 years of experience as Field Data Manager in civil engineering.
  • Proficiency in SQL and relational databases (Oracle or MS SQL).
  • Experience with data import, cleaning, verification, processing, storage, backup, and transfer of construction data.

Responsibilities

  • Oversee the population, maintenance, and operation of the Data Management System.
  • Collaborate with engineers, technicians, and other roles to understand data requirements and ensure data integrity.
  • Facilitate automated and manual input of data into the database system.
  • Manage databases, ensuring performance and security.
  • Perform data cleaning, transformation, and validation for analysis-ready datasets.
  • Ensure efficient data flow from site to database to end users.

Skills

Data management
Civil engineering
Team collaboration
Attention to detail

Education

Bachelor's degree in Civil Engineering

Tools

SQL
Oracle
Microsoft SQL Server

Job description

Smart Structures is seeking a Field Data Manager with a strong civil engineering background to oversee the Data Management System, develop and optimize data, and ensure data integrity on construction sites.

This role requires extensive experience in construction data management, hands-on database work, and the ability to coordinate with engineers, technicians, and other teams to transfer data from field CSVs and documents into the database.

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