Cybersecurity Data

Cybersecurity Data Engineer Jobs

2 jobs found

11d ago

Data Security Engineer (Tuning)

Deloitte Colorado Springs, CO

Colorado Springs, CO

11d ago

$96k - $159k/yr Full time Cloud Platforms Cybersecurity Data Data

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Job Description

Own and optimize end-to-end security telemetry pipelines and tuned detection logic across enterprise and cloud environments.

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 define data sources, collection methods, telemetry fields, retention, and data-quality controls to improve detection coverage
Architect, build, and maintain telemetry pipelines for network, endpoint, identity, cloud, application, OT, and security-infrastructure data and deploy it into centralized and distributed detection solutions
Ingest and operationalize telemetry sources including NetFlow, packet capture (PCAP), VPC flow logs, firewall and proxy logs, and DNS records
Define telemetry needs for network monitoring, threat hunting, incident response, and custom detection engineering by mapping detection goals to underlying data sources
Assess visibility gaps across on-premises, cloud, remote, and segmented environments
Normalize, enrich, parse, validate, and maintain telemetry using OCSF or CIM standards so data is queryable and available for correlation
Troubleshoot ingestion and detection pipeline issues including parsing, latency, retention, field coverage, and data-quality across SIEM, data lake, analytics, and detection platforms
Design, write, deploy, and tune high-fidelity detection logic using SQL, Sigma, YARA-L, or Python for network-based techniques such as 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/tradecraft-based detection
Partner with network engineering and stakeholders to evaluate sensors and telemetry sources including NetFlow/IPFIX, DNS and proxy telemetry, firewall logs, IDS/IPS, PCAP, Zeek, network metadata, and NDR platforms
Create telemetry health metrics, dashboards, and automated checks for missing, delayed, or malformed data and optimize for performance, scalability, reliability, and cost

Requirements

Associate degree and 6+ years in data engineering, data integration, security engineering, or security operations; or bachelor's degree and 3+ years in the same areas
Active TS/SCI or SCI eligibility is required
3+ years conducting data investigations and using scripting languages for data engineering workflows
+ years of experience using SQL and Python to transform, validate, or analyze data
Experience using MITRE ATT&CK for security log design
Experience configuring or tuning data ingestion, parsing, normalization, or enrichment for security data
Experience using a SIEM, log management platform, or security data lake
Ability to travel 10%, on average
Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Technologies

Structured Query Language (SQL)
Python
Sigma
YARA-L
OCSF (Open Cybersecurity Schema Framework)
CIM (Common Information Model)
MITRE ATT&CK
NetFlow
PCAP (packet capture)
VPC flow logs
DNS
IPFIX (Internet Protocol Flow Information Export)
IDS/IPS (intrusion detection and prevention systems)
Zeek
NDR (network detection and response)
SIEM (security information and event management)
CI/CD
AWS, Microsoft Azure, GCP

Team

Deloitte’s Government & Public Services (GPS) practice serves federal, state, & local government clients and public higher education institutions
Enterprise Security embeds security in 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
Project Delivery Talent Model ties employment to a role on a project

Preferred

Cyber threat hunting
Experience with cloud data or security services in AWS, Azure, or GCP
Experience with version-control and CI/CD tooling to deploy engineering changes

Logistics and Compensation

Location: Colorado Springs, CO (onsite)
Salary (Colorado estimate): $95,600 to $159,300 per year
Recruiting end date: 11/30/2026

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1mo ago

Principal Data Engineer - Global Cybersecurity Data & Analytics

Liberty Mutual Plano, TX

Plano, TX

1mo ago Closed

$120k - $225k/yr Full time Analytics Azure Big Data

This position is no longer accepting applications (closed Oct 22, 2026).

Job Description

Liberty Mutual’s Global Cybersecurity Data and Analytics team is building data engineering and analytics capabilities that strengthen cybersecurity insight and improve decision-making. In this onsite role in Plano, TX, you will serve as a principal technical leader, shaping complex data architecture, governance, pipelines, and visualization solutions that help teams understand patterns, trends, and correlations across large-scale data.

This Principal Data Engineer position focuses on end-to-end delivery, from ingestion and transformation to interactive reporting, with a responsibility to use AI tools effectively and responsibly, including validation of AI outputs and protection of confidential and customer data.

Key responsibilities

Consult on the design and development of complex programs and tools for ingesting, curating, and provisioning enterprise data for analytics, reporting, and data science.
Build and design data architecture that improves accessibility, efficiency, governance, and data quality.
Collect, clean, and transform traditional and big data to support accurate and accessible datasets.
Recommend improvements to data practices and drive those recommendations forward.
Develop strong depth of knowledge in technology enablers and contribute to solution development for key business outcomes.
Document existing processes, organizational structures, architectures, and external systems.
Create interactive and visually engaging data visualizations to surface patterns, trends, and correlations in large datasets.
Advise on Power BI visualization capabilities and functionalities.
Present to and educate a broad audience on how to use visualizations.
Actively use AI tools to increase speed, quality, and scale of work by identifying concrete value-add workflows, critically evaluating and validating AI-generated output, and applying AI responsibly to safeguard confidential and customer data.

Required qualifications

Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience (technical degree preferred).
Generally, 8+ years of professional experience.
In-depth knowledge of IT concepts, strategies, and methodologies.
In-depth knowledge of diverse and emerging technologies, including new architectural concepts and principles.
Strong knowledge of data engineering languages and tools, with proficiency in new and emerging technologies.
In-depth understanding of layered solution designs, shared data engineering concepts, product features, and security-minded approaches.
In-depth knowledge of business operations, objectives, and strategies, including global business and technology trends in the financial services industry.
Highly developed negotiation, consensus-building, and influencing skills, with facilitation and adaptability to respond to change.
Highly developed oral and written communication skills, including strong presentation abilities.
Ability to collaborate effectively across all levels of the organization.
Solid Python (Pandas) and SQL skills with analytical and critical thinking, including understanding of big data technology.
Understanding of machine learning principles, statistics, and algorithms.
Understanding of data warehouse solutions, data modeling, and governance.
Working knowledge of AWS, Azure, and GCP cloud environments.
Power BI development experience including DAX and M query, plus Power BI gateway knowledge.
Snowflake administration experience.
AWS Airflow experience.
History working with ETL (extract, transfer and load) and data pipeline technology.
Proven experience in data modeling, governance, and analytics.
Ability to leverage and build APIs, along with Python and SQL query and data management knowledge.

Technologies you will work with

Python, Pandas, SQL
Power BI, DAX, M query, Power BI gateway
Snowflake
AWS, Azure, GCP
AWS Airflow
ETL, data pipeline technology
APIs
Machine learning

Location: Plano, TX (onsite)
Salary range: USD 120,000 - 225,000 per year

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Cybersecurity Data Engineer Jobs

Data Security Engineer (Tuning)

Principal Data Engineer - Global Cybersecurity Data & Analytics

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