Product Enablement Data Engineer

We are looking for a highly technical Product Enablement Data Engineer to design, generate, and manage realistic data feeds that power our cloud-managed cybersecurity and networking platform.

This role is primarily focused on traffic generation, attack simulation, SaaS configuration automation, and telemetry validation — ensuring our product demonstrates real-world behavior across customer-like scenarios.

In addition to owning the data layer, this role will also be responsible for owning and managing the lab environments required to generate and deliver this data. This includes building and maintaining lightweight cloud-based environments, ensuring connectivity, and supporting the infrastructure needed to reliably produce data for demos and enablement use cases.

The Product Enablement team’s mission is to unlock our product’s full potential through engaging learning experiences. You will play a pivotal role in helping customers see the technical value in our products through realistic data that addresses real-world scenarios.

The data feeds and environments you create will power Demo Mode, a centralized demo platform used by the sales field, product managers, and partners to deliver sales-led demonstrations, as well as by customers to experience the product and explore new features in a realistic environment.

You will collaborate closely with content developers, product management, engineering, sales engineers, and other enablement teams to define requirements and deliver high-quality, reliable outputs.

Unlike traditional data engineering roles, this position focuses on generating synthetic but realistic data and network behavior, along with the environments required to deliver it.

• Create repeatable simulations of SaaS application traffic (e.g., collaboration tools like Zoom).
• Simulate network conditions including latency, jitter, packet loss, and bandwidth shaping.
• Build traffic generators and orchestration workflows for repeatable demo and validation scenarios.

• Design and implement data feeds aligned with frameworks such as MITRE ATT&CK.
• Simulate intrusion techniques including:
  • Lateral movement
  • Command-and-control traffic
  • Data exfiltration
  • Brute force and credential abuse
• Build modular attack simulation libraries that can be triggered programmatically.
• Validate product detection accuracy against simulated behaviors.

• Configure our SaaS application to receive and process simulated traffic.
• Use product APIs to:
  • Provision SaaS tenant accounts
  • Configure policies and features
  • Retrieve telemetry and system status
• Automate SaaS configuration workflows.

• Design, build, and maintain lightweight lab environments required to generate and deliver data.
• Deploy and manage cloud-based infrastructure (primarily in Azure, AWS acceptable).
• Provision and configure virtual machines used for traffic generation and simulation.
• Configure VPN clients and ensure connectivity into SaaS-managed environments.
• Ensure lab environments are stable, repeatable, and easy to reset or rebuild.
• Troubleshoot connectivity, system, and environment issues impacting data generation.

• Maintain scalable infrastructure to support traffic generation and simulation workloads.
• Support environment lifecycle management (setup, reset, teardown).
• Work with simple automation approaches to improve repeatability and reliability (scripts, templates, etc.).

• Build dashboards to monitor:
  • Data feed health
  • Telemetry completeness
  • Detection triggers
  • Endpoint and lab environment status
• Implement alerting for missing data or degraded environments.
• Perform root-cause analysis when telemetry pipelines or lab environments fail.

• 10+ years of experience in the networking or cybersecurity industry
• 5+ years of experience in data engineering, network engineering, or security engineering
• Strong programming skills in Python (required)
• Experience working with REST APIs and authentication workflows
• Experience building or working with security testing, attack simulation, or traffic generation workflows
• Hands-on experience with cloud platforms (Azure preferred)
• Experience generating network traffic using tools like Scapy, tcpreplay, iperf, or similar
• Strong working knowledge of Linux command-line environments, including networking tools (tcpdump, curl, ip, netstat)
• PowerShell scripting experience for automation of Windows systems and SaaS/API interactions
• Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, TLS)
• Experience configuring VPN clients and secure connectivity
• Familiarity with MITRE ATT&CK or other security frameworks
• Ability to independently own both data generation and the environments required to support it

• Experience with Terraform or other Infrastructure-as-Code tools
• Experience building or maintaining demo or enablement lab environments
• Experience simulating adversary behaviors in controlled environments
• Familiarity with traffic shaping tools (tc, netem)
• Experience with monitoring/observability platforms (Grafana, ELK, Prometheus)
• Networking or security certifications (e.g., CCNA, Security+)
• Experience working in SASE, networking, or cybersecurity product companies
• Experience with GraphQL APIs

This role ensures our product behaves as it would in real customer environments — with authentic traffic patterns, real attack simulations, and validated telemetry.

By owning both the data generation layer and the lab environments that support it, you will play a critical role in enabling high-quality demos and technical storytelling.

The environments and data you create will directly influence how customers, partners, and internal teams experience the product — making this a high-impact role within Product Enablement.

Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits. 

As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.

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