Deloitte

Consultant Cyber Engineering

Deloitte
US Milwaukee, WI, US
Onsite 2026-07-03
Announced salary
$88,600 - $181,900
Low
$66K
Median
$91K
High
$122K
Market in Milwaukee · BLS OEWS 2025
Estimated net pay
$5,617 - $10,550
/month · 24% withheld
after tax & contributions · Single, no dependents

Job description

Are you passionate about technology and interested in joining a community of collaborative colleagues who respectfully and courageously seek to challenge the status quo? If so, read on to learn more about an exciting opportunity with Deloitte Technology US (DT \- US). We are curious and life\-long learners focused on technology and innovation. Recruiting for this role ends on 7/15/2026\. **Work you'll do** The position supports data source onboarding and quality functions, ensuring security data is accurately ingested into the SIEM for monitoring and threat detection. The role also partners with stakeholders to resolve data quality issues promptly and is responsible for developing and maintaining process documentation. Responsibilities by category: Administrative * Maintain ticket management and DevOps activity tracking to ensure accurate work intake, prioritization, and status reporting. * Monitor and communicate Microsoft product updates; assess and advise on impacts on the environment and customers. * Build strong stakeholder relationships with clear follow\-through and resolution documentation. * Create and maintain process documentation (runbooks, SOPs, workflows) to support consistent execution and knowledge transfer. * Maintain and enforce change control and peer review processes to promote quality, security, and auditability. SIEM Data Source Onboard / Data Quality * Gather requirements for new data sources, define the appropriate connector approach, maintain source documentation, and coordinate stakeholder communications. * Manage workspace\-level ingestion settings, permissions, and keys required for secure data collection. * Design, develop, configure, and maintain Microsoft Sentinel data connectors, data collection rules, and built\-in data source integrations. * Validate ingested table data against required field definitions and expected schemas. * Monitor data flow, identify ingestion issues, and troublesho

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