Programmer

Insight Global
Houston, TX, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Geographic Information Systems Artificial Intelligence Application Lifecycle Management Computer Programming Supervisory Control and Data Acquisition (SCADA) Python (Programming Language) Operational Data Store Server Administration SQL Databases Systems Architecture Backend
+3 more
Information Technology Data Analytics Network Server

Job description

This person will join a SCADA development team for a company in the Houston area. The team brings operational data from field assets into corporate systems and the control room. Day-to-day, they will develop internal applications and reports, write SQL queries, manipulate and integrate data, build new features, and support SCADA architecture, servers, infrastructure, and troubleshooting. They will partner closely with field I&E and telecom teams that manage PLCs and field devices, while the SCADA team owns how that data is integrated and used across SCADA, GIS, measurement, and other operational applications. It is a very hands-on, end-to-end environment, so they want someone who enjoys programming, troubleshooting, and taking ownership rather than working within one narrow area.

Requirements

Programming/development experience -Ability to work across the full application lifecycle, including backend development, troubleshooting, reporting, server configuration, and infrastructure support -Experience supporting field operations -Strong problem-solving ability and comfortable owning issues without relying on separate QA or end-user support teams -Python and/or JavaScript -Strong experience writing and troubleshooting SQL queries -SCADA, controls, automation, I&E, PLC, or industrial field-device experience -Experience with system architecture, server infrastructure, and hub deployments -Statistical analysis or data analytics experience -Exposure to AI-driven analytics/automation -Computer Science, engineering, or technical degree is helpful but NOT required

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