630 Automation Engineer jobs in Leander,TX

Minimum of 5 years of experience in fire protection or life safety consulting
Bachelor's degree in Fire Protection Engineering or related discipline (Mechanical, Civil, etc.); equivalent industry experience will be considered
NICET Level II or higher in Sprinkler or Fire Alarm Systems
CFPS (Certified Fire Protection Specialist)
PE (Fire Protection) license or in-progress pursuit is welcome
Demonstrated ability to perform code research and apply findings to design deliverables
Proficiency in technical writing and document preparation for AHJ review
Working knowledge of fire alarm and sprinkler system design
Proficiency in AutoCAD; familiarity with Revit preferred
Competency with hydraulic calculation methods and software tools
Familiarity with hazardous materials classifications and associated system design implications
Knowledge of tools such as HydraCAD, AutoSPRINK, AlarmCAD, or Bluebeam
75% Office Setting

ABM

Austin, TX 78716

Registered Professional Engineer
Licensed Professional Engineer (P.E.)
Bachelor's degree in Engineering, Construction Management, or related technical field (or equivalent experience)
10–15+ years of experience in facilities engineering, project management, or capital project delivery
Proven experience managing **large budgets and multi‑project portfolios**
Demonstrated leadership experience managing and developing teams
Strong background in **MEP systems and critical manufacturing infrastructure**
Experience supporting **semiconductor, mission‑critical, or high‑tech manufacturing facilities**
Excellent communication, organizational, and client‑facing skills

U.S. Navy

Leander, TX 78641

Dell Medical School

Austin, TX 78701

Bachelor's Degree in Computer Science, Data Engineering, Information Systems, or a related field.
At least 6 years of experience in data engineering, analytics engineering, or data platform development.
Demonstrated experience designing and leading complex data pipelines and data platforms.
Relevant education and experience may be substituted as appropriate.
Advanced proficiency in SQL and Python and related languages for data engineering.
Strong experience with distributed data processing frameworks (e.g., Spark).
Hands-on expertise with workflow orchestration tools (e.g., Airflow).
Deep familiarity with cloud-based data platforms and services (AWS, GCP, or Azure/Fabric).
Experience designing and optimizing data models for analytics and reporting.
Strong understanding of data governance, data quality, and security best practices.
Experience working with regulated data, particularly healthcare or clinical data.