Fresno, California, United States; Los Angeles, California, United States; Sacramento, California, United States; San Francisco, California, United States; Seattle, Washington, United States

Resident Engineer

Salary: unknownSoftware engineering (general)

Power BIIncident reportingChange managementBlueprint readingPowerPointOSHAElderly care

Original posting ↗Apply ↗Company job board ↗

Resident Engineer is an open role at Luster National, a company in public sector, education and non-profit. The posting gives Fresno, United States as the location. We classify it under software engineering (general). Technologies named in the posting: Power BI. There are 26 open positions from Luster National on this site, 2 of them in IT and engineering.

Posted 10 days ago · Last checked 2026-10-27

About Luster National

Public sector, education and non-profit Non-tech company with an IT team 26 open positions, 8% in IT and engineering. Most open roles: Operations and admin (8), Skilled trades, construction and production (8), General management and executives (7).

All open jobs at Luster National →

Similar jobs

Frontier Agent Engineering Manager, EnterpriseScale AI · New York, NYUSD 227K–325K / year Senior Engineering Manager - Analytics PlatformFaire · Kitchener-Waterloo, ON; Toronto, ONUSD 190.5K–262K / year Metasurface Design Engineer - 1089quantinuum · US Broomfield, COOn-site Senior Design Verification EngineerAstera Labs · San Jose, California, United StatesUSD 148.5K–165K / year Sr. Software Engineer - AI Platform Addepar · New York, NYUSD 188K–235K / year Staff Software EngineerOpenGov · US | Massachusetts | BostonUSD 205K–227K / year Senior Technical Program ManagerPerchwell · New York OfficeUSD 180K–205K / year Software Engineer, AgentsHarvey · San FranciscoUSD 161.3K–241.9K / year

3,898 open software engineering (general) jobs in the United States All open jobs at Luster National →

Workplace	Workplace not stated
Seniority	Not stated
Role	Software engineering (general)
Countries	United States
Key facts	Stack: Power BI

The full description is on the original posting. Labels are set automatically and can be wrong. About the data