Senior Data Engineer

Nebulock

Senior Data Engineer building scalable security telemetry pipelines for Nebulock’s AI threat-hunting platform. Developing ingestion, transformation, correlation, and search systems for autonomous cybersecurity detection.

Posted 8/10/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines, integrating various data sources, and developing normalized data models. Proficient in leveraging cloud technologies and event streaming systems to enhance data processing and search capabilities.

Highest-signal resume keywords

Data Pipeline DevelopmentEvent Streaming SystemsCloud Technologies (AWS, GCP)Python, Java, Go, Rust ProficiencyData Warehousing Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentEvent Streaming SystemsData Warehousing TechnologiesPythonJavaGoRustClickHouseSearch SystemsData Modeling

Soft Skills

Systems ThinkingAdaptabilityDesire for GrowthCollaborationLow-Ego Mindset

Tools & Technologies

AWSGCPKafkaData Engineering StandardsObservability ToolsMonitoring ToolsAutomated Testing Tools

Industry Keywords

CybersecurityStartup ExperiencePlatform EngineeringDetection EngineeringThreat Hunting

Tech Stack

Tools & technologies

AWSCloudCyber SecurityGoGoogle Cloud PlatformJavaKafkaPythonRust

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines ingesting and processing large volumes of security telemetry
Own API and event stream integrations across third-party EDR, IAM, Cloud, and SaaS data sources
Develop and maintain a transformation layer producing a normalized, enriched, and queryable data model
Build an engine that correlates entities across disparate data sources
Work on search capabilities across vast amounts of data
Collaborate with detection engineers, threat hunters, and product engineers to meet platform data needs
Set and promote data engineering standards and best practices, including observability, monitoring, and automated testing
Help drive the architecture and technical direction of Nebulock’s platform

Requirements

What you’ll need

4+ years of experience building data pipelines supporting customer-facing products
Experience with data warehousing technologies
Proficiency in Python, Java, Go, Rust, or similar
Hands-on experience with large-scale event streaming systems such as Kafka or similar
Experience with AWS or GCP
Strong systems thinking and understanding of performance, cost, and complexity trade-offs
Ability to adapt, iterate, and ship quickly
Hunger for growth and desire to work in a low-ego environment
Nice to have: Experience with ClickHouse
Nice to have: Experience building or working with search systems over large datasets
Nice to have: DevOps or platform engineering experience
Nice to have: Cybersecurity experience
Nice to have: Startup experience
Visa sponsorship question is included in the application form

Benefits

Comp & perks

Competitive salary and equity options
Comprehensive benefits package (including 401K)
Opportunities to travel for conferences, workshops, and team-building events
Opportunities for rapid career growth
Collaborative culture that values innovation and creativity