5 intelligent automation engineer jobs at 4 companies in Florence, TX
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Operations Engineer, Retail Store Operations & Support - Retail & Marcom Engineering
Austin, Texas, United States
OnsiteFull Time
Detect and resolve production issues across retail systems; apply SRE and applied AI engineering approaches to automation and operational intelligence.
3w
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Security Engineer, Cyber Threat Intelligence
Austin or San Diego
OnsiteFull Time
4+ YOE4+ years in CTI/threat hunting/detection engineering, intelligence lifecycle fluency, software engineering for automation, MITREATT&CK/STIX/TAXII familiarity, ability to obtain U.S. security clearance.
MITRE ATT&CK, STIX, TAXII, Sigma, YARA, SIEM, MISP, LLMs
1mo
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Engineer II, Threat Detection - Windows (Hybrid)
Sunnyvale or New York City or Austin or Redmond
$100k-$145k/yr HybridFull Time
4+ YOEAbility to analyze malware and intrusion telemetry, author behavioral detections for Windows endpoints, use Python/PowerShell for automation, and collaborate with threat intelligence; U.S. citizenship or green card required for CJIS eligibility.
PowerShell, Python, EDR, Regular expressions, MITRE ATT&CK
2w
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Business Intelligence Engineer II, SCOT-FO, TVP
Austin, Texas, United States
$100k-$160k/yr OnsiteFull Time
3+ YOE3+ years analyzing data with Redshift/Oracle/NoSQL, SQL/ETL experience, statistical analysis, automated reporting, Tableau/Quicksight, Python scripting, data modeling and ETL pipeline experience.
Redshift, Oracle, NoSQL, SQL, ETL, Tableau, Quicksight, R, SAS, Matlab, Python, EC2, DynamoDB, S3
3d
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Business Intelligence Engineer, Amazon Logistics, WW AMZL Business Intelligence and Analytics - ORBIT
Austin or Nashville
$95k-$160k/yr OnsiteFull Time
3+ YOEBachelor's degree in a relevant field, 3+ years of data analysis, SQL and large-dataset experience, statistical analysis, automated reporting, data visualization, modeling, warehousing, ETL, and Python scripting.
Amazon Redshift, Oracle, NoSQL, SQL, ETL, Tableau, Amazon QuickSight, R, SAS, MATLAB, Python, Amazon EC2, Amazon DynamoDB, Amazon S3