
Security Data Engineer - Senior
Required skills
- network security monitoring
- security telemetry
- MITRE ATT&CK framework
- adversary behaviors
- TCP/IP
- DNS
- HTTP/HTTPS
- TLS
- SMTP
- DHCP
Nice to have
- SIEM
- data lake
- analytics platforms
- Sigma
- YARA-L
- detection engineering
Role summary
Modern Technology Solutions, Inc. (MTSI) is seeking a Senior Security Data Engineer to support United States Space Force (USSF) operations. This role involves owning the security telemetry pipeline end-to-end, ensuring the collection, ingestion, normalization, and maintenance of security data for network monitoring, threat hunting, and detection engineering. The engineer will architect and build data pipelines, design and deploy detection rules using various languages, and tune detections for accuracy. Responsibilities include identifying data sources, assessing visibility gaps, and ensuring reliable telemetry delivery to SIEM and data lake platforms. The position requires strong knowledge of network security, protocols, and experience with data ingestion technologies and scripting languages like Python. A Bachelor's degree with 18 years of experience or a Master's degree with 10 years of experience is required, along with a Top Secret clearance.
- Design, write, and deploy high-fidelity detection rules using SQL, Sigma, YARA-L, or Python targeting network-based attack techniques (e.g., C2 beaconing, data exfiltration, and lateral movement).
- Continuously tune network detections to reduce false-positive rates while maintaining a high signal-to-noise ratio.
- Identify telemetry required to support network monitoring, threat hunting, incident response, and custom detection engineering.
- Map detection requirements to underlying data sources and identify visibility gaps across hybrid cloud and on-premises environments
- Design and maintain pipelines that ingest security telemetry from network, endpoint, identity, cloud, application, OT, and security infrastructure.
- Ensure telemetry is delivered reliably to SIEM, data lake, analytics, and detection platforms; troubleshoot ingestion, parsing, latency, and data-quality issues.
- Evaluate whether packet, flow, session, DNS, proxy, authentication, endpoint, and application telemetry is sufficient for specific detection requirements.
- Support custom detection development through data discovery, enrichment, normalization, and validation.
- Identify opportunities to move detections from low-level indicators toward higher-level behavioral and tradecraft-based detection using the Detection Stack.
- Work with network engineering teams to evaluate technologies such as network sensors, NetFlow/IPFIX, DNS telemetry, proxy telemetry, firewall logs, IDS/IPS, packet capture, Zeek/network metadata, and NDR platforms.
- Establish telemetry health metrics, dashboards, and automated checks for missing, delayed, or malformed data.
- Assess network visibility across data centers, cloud environments, remote networks, and segmented environments.
- Optimize telemetry architectures and ingestion pipelines for performance, scalability, reliability, and cost
- Strong understanding of; network security monitoring and security telemetry. MITRE ATT&CK framework, adversary behaviors, TCP/IP, DNS, HTTP/HTTPS, TLS, SMTP, DHCP, SSH, SMB, and common network protocols.
- Experience in; translating detection requirements into specific data and telemetry requirements.
- Understanding of; packet capture, network flows, network metadata, and session-level telemetry.
- Experience with technologies such as NetFlow/IPFIX, Zeek, Wireshark, IDS/IPS, firewalls, proxies, or network detection platforms, network segmentation, routing, VLANs, VPNs, cloud networking, and encrypted traffic.
- Experience designing or maintaining security data ingestion pipelines. Understanding of APIs, syslog, message queues, streaming data, and event-based architectures.
- Experience working with JSON, XML, CSV, CEF, LEEF, ECS, or other security-data formats. Strong understanding of data normalization, parsing, enrichment, transformation, and schema management.
- Experience with at least one scripting language such as Python.
- Ability to conduct data-source and detection-gap assessments.
- Experience working with threat hunting or purple-team activities. Understanding of adversary emulation and controlled security testing.
- Hands-on experience building security telemetry pipelines and supporting SIEM, data lake, or analytics platforms.
- Experience writing or tuning detections using SQL, Sigma, YARA-L, Python, or similar.
- Familiarity with MITRE ATT&CK, detection engineering, and Purple Team validation.
- Ability to work with network, infrastructure, and cyber operations teams to enable and validate telemetry sources.
- Strong written and verbal communication skills for technical analysis and stakeholder engagement.
- Prior experience supporting federal, DoD, or USSF cyber environments is highly desirable.
Education Requirements:
- Bachelor’s degree in cybersecurity, computer science, security engineering, data science, network security, or a related field and 18 years of relevant professional experience; or Master’s degree in one of the same fields and 10 years of relevant professional experience
Clearance Requirements:
- Must possess a Top Secret with SCI eligibility. SAR/SAP experience is highly desirable.
- Place of work is Colorado Springs; remote work opportunity is limited. You may be required to travel periodically, less than 20%.
The pay range for this position in Colorado is $155,000/year to $195,000/year; however, base pay offered may vary depending on established government contract ranges, job-related knowledge, skills, and experience, and other factors. MTSI also offers a full range of medical, financial, and other benefits, dependent on the position offered. Base pay information is based on market location. Applications will be accepted on an ongoing basis. This posting will be renewed periodically until the position is filled.
#LI-MW2#MTSI
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