Data Security Engineer (Tuning)

Deloitte•Colorado Springs, CO

26d•$95,600 - $159,300•Onsite

About The Position

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success. As a Security Data Engineer (Tuning) - Cyber/ Enterprise Security on the Enterprise Security team, you will be responsible for owning end-to-end security telemetry pipelines that support network traffic monitoring, threat hunting, custom detection engineering, and adversary detection. You will work backward from detection objectives to establish the data sources, collection methods, telemetry fields, retention, normalization, and data-quality controls needed for reliable detection coverage. Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client’s technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Requirements

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Associate degree and 6+ years of experience in data engineering, data integration, security engineering, or security operations; or bachelor’s degree and 3+ years of experience in data engineering, data integration, security engineering, or security operations
An Active TS/SCI or SCI eligibility is required
3+ years of experience conducting data investigations and using scripting languages for data engineering workflows.
+ years of experience using Structured Query Language (SQL) and Python to transform, validate, or analyze data
Experience using MITRE Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK) for security log design
Experience configuring or tuning data ingestion, parsing, normalization, or enrichment processes for security data
Experience using a security information and event management (SIEM) platform, log management platform, or security data lake
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Nice To Haves

Cyber threat hunting
Experience with cloud data or security services in Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Experience using version-control and continuous integration/continuous delivery (CI/CD) tooling to deploy engineering changes

Responsibilities

Owning end-to-end security telemetry pipelines that support network traffic monitoring, threat hunting, custom detection engineering, and adversary detection. You will work backward from detection objectives to establish the data sources, collection methods, telemetry fields, retention, normalization, and data-quality controls needed for reliable detection coverage.
Architect, build, and maintain security telemetry pipelines that identify, onboard, and ingest network, endpoint, identity, cloud, application, operational technology (OT), and security-infrastructure data—including NetFlow, packet capture (PCAP), virtual private cloud (VPC) flow logs, firewall and proxy logs, and Domain Name System (DNS) 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 (OCSF) or Common Information Model (CIM) 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 (SIEM), data lake, analytics, and detection platforms.
Design, write, deploy, and tune high-fidelity detection logic using Structured Query Language (SQL), 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 (IPFIX), DNS and proxy telemetry, firewall logs, intrusion detection and prevention systems (IDS/IPS), packet capture, Zeek or network metadata, and network detection and response (NDR) 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.