Remote Part-Time AI & Low‑Code Automation Specialist

Bechtel Global Corporation

Reston (VA)

Hybrid

USD 90,000 - 130,000

Part time

14 days+
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Benefits offered by this job

Hybrid work model

Job summary

Bechtel's M&T Digital Solutions team is seeking an Information Automation Specialist to support the development, deployment, maintenance, and continuous improvement of low- and medium-code business applications, data and AI workflows across the team's digitalization initiatives.

Reporting to the Manager of Innovation and Information, this role works closely with the M&T Digital Solutions team to configure, administer, maintain, and continuously improve business applications built on Low

Qualifications

  • Experience configuring low-code applications with Power Apps and/or Quickbase.
  • Strong SQL skills and Excel proficiency.
  • Ability to translate business requirements for non-technical users.

Responsibilities

  • Build and configure low- to medium-code applications to support project workflows.
  • Gather requirements and map business processes to automate workflows.
  • Configure forms, dashboards, and reports; support data visualization.
  • Assist with UAT, deployments, and release activities.
  • Collaborate with data scientists to build AI models.
  • Monitor performance and optimize processes.

Skills

Python
R
Java
Azure services
Power Apps
Power Automate
SQL
Excel
Microsoft Power BI
APIs/REST
Git
Data modeling
Databricks

Education

Bachelor's degree

Tools

Microsoft Power Apps
Quickbase
Power Automate
Databricks
SharePoint
Microsoft 365

Job description

Bechtel's M&T Digital Solutions team is seeking an Information Automation Specialist to support the development, deployment, maintenance, and continuous improvement of low- and medium-code business applications, data and AI workflows across the team's digitalization initiatives.

Reporting to the Manager of Innovation and Information, this role works closely with the M&T Digital Solutions team to configure, administer, maintain, and continuously improve business applications built on Low

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