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Deloitte

Audits companies and advises on tax and technology

Data Security Engineer - Tuning

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-timeColorado Springs, CO, USA

About the Job

Requirements

  • A bachelor's degree and at least 3 years of experience in data engineering, data integration, security engineering, or security operations are required.
  • An active Top Secret/Sensitive Compartmented Information clearance or eligibility for Sensitive Compartmented Information is required.
  • At least 3 years of experience conducting data investigations and using scripting languages for data engineering workflows are required.
  • At least 3 years of experience using Structured Query Language and Python to transform, validate, or analyze data is required.
  • Experience using MITRE Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK) for security log design is required.
  • Experience configuring or tuning data ingestion, parsing, normalization, or enrichment processes for security data is required.
  • Experience using a security information and event management platform, log management platform, or security data lake is required.
  • The candidate must be legally authorized to work in the United States without employer sponsorship now or in the future.
  • The candidate must be able to travel an average of 10%, depending on the work and clients served.
  • The candidate must be able to work independently and collaboratively, communicate effectively in writing and verbally, maintain attention to detail and quality, build professional relationships, lead projects or workstreams, manage and prioritize multiple tasks, meet deadlines, and provide clear guidance to others.

Responsibilities

  • Own end-to-end security telemetry pipelines that support network traffic monitoring, threat hunting, custom detection engineering, and adversary detection; work backward from detection objectives to establish data sources, collection methods, telemetry fields, retention, normalization, and data-quality controls.
  • Architect, build, and maintain security telemetry pipelines that identify, onboard, and ingest network, endpoint, identity, cloud, application, operational technology, and security-infrastructure data—including NetFlow, packet capture, virtual private cloud flow logs, firewall and proxy logs, and Domain Name System records—into centralized and deployed detection solutions.
  • Determine telemetry needed for network monitoring, threat hunting, incident response, and custom detection engineering; map detection objectives to underlying data sources; and assess visibility gaps across on-premises, cloud, remote, and segmented environments.
  • Normalize, enrich, parse, validate, and maintain telemetry using Open Cybersecurity Schema Framework or Common Information Model standards; ensure data is queryable and available for correlation; and troubleshoot ingestion, parsing, latency, retention, field-coverage, and data-quality issues across security information and event management, data lake, analytics, and detection platforms.
  • Design, write, deploy, and tune high-fidelity detection logic using Structured Query Language, Sigma, YARA-L, or Python for network-based attack techniques, including command-and-control beaconing, data exfiltration, and lateral movement; reduce false positives while maintaining detection signal; and support custom detection development through data discovery, enrichment, normalization, validation, and behavioral and tradecraft-based detection.
  • Partner with network engineering and organizational stakeholders to evaluate network sensors, NetFlow and Internet Protocol Flow Information Export, Domain Name System and proxy telemetry, firewall logs, intrusion detection and prevention systems, packet capture, Zeek or network metadata, and network detection and response platforms.
  • Establish telemetry health metrics, dashboards, and automated checks for missing, delayed, or malformed data; assess visibility across environments; and optimize telemetry architectures and ingestion pipelines for performance, scalability, reliability, and cost.

Desired Qualifications

  • Experience with cyber threat hunting is preferred.
  • Experience with cloud data or security services in Amazon Web Services, Microsoft Azure, or Google Cloud Platform is preferred.
  • Experience using version-control and continuous integration/continuous delivery tooling to deploy engineering changes is preferred.

About the Company

Deloitte

Audits companies and advises on tax and technology

Deloitte audits companies and advises businesses and governments on tax, technology, and risk, and it is one of the Big Four, the world's four largest accounting firms. In 1849 its founder became the first independent auditor of a public company, Britain's Great Western Railway. Its auditors check companies' financial reports for errors and fraud before investors rely on them, while its consultants design strategy, install business software, and defend clients against cyberattacks. Clients pay fees for each audit or project, and each country's Deloitte firm is a separate business owned by its local partners. Deloitte was founded in London in 1845 and is based in New York.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$17.1M
Headquarters
New York, NY
Founded
1845

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