Senior Security Data Engineer in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Security Data Engineer in United States.

This is a highly technical and impact-driven role focused on transforming large-scale Internet telemetry into structured, security-relevant datasets that power advanced AI and machine learning systems. You will work at the intersection of cybersecurity, data engineering, and machine learning, helping to improve how Internet-exposed assets are classified and understood. The role emphasizes building high-quality labeled datasets, feature pipelines, and analytical frameworks that support threat detection and risk classification at global scale. You will collaborate closely with ML engineers, researchers, and security experts to translate complex Internet data into actionable intelligence. Operating in a remote-first, innovation-driven environment, you will contribute directly to improving global Internet visibility and security understanding. This position is ideal for a data engineer who thrives in complex, large-scale, and security-focused problem spaces.

• Analyze large-scale Internet telemetry and derived datasets to identify meaningful patterns and signals that improve machine learning models for security classification.
• Design, build, and maintain high-quality training and evaluation datasets using raw telemetry, curated labels, and expert-reviewed security data.
• Develop feature engineering, labeling strategies, and data pipelines that support classification of entities such as benign, suspicious, or malicious infrastructure.
• Collaborate with security researchers and detection teams to translate domain expertise into structured, model-ready data and workflows.
• Partner with ML and software engineers to ensure scalable, production-ready integration of features, labels, and datasets.
• Contribute to evaluation frameworks that improve model performance metrics such as precision, recall, and coverage over time.
• Build internal tooling and automation to support large-scale data processing, labeling, and feature discovery efforts.

Requirements:

• 5+ years of experience in software engineering or data-focused roles with a strong emphasis on security, analytics, or large-scale data systems.
• Strong programming skills in Python, Go, or similar languages, along with solid experience using SQL for large dataset analysis.
• Proven ability to transform ambiguous, large-scale data into structured, actionable insights for security or analytical use cases.
• Strong understanding of Internet-scale systems and security-relevant data such as exposed hosts, services, and infrastructure behavior.
• Excellent collaboration and communication skills, with experience working alongside engineers, researchers, and security professionals.
• Analytical mindset with strong problem-solving abilities and attention to detail in data interpretation and modeling support.
• Familiarity with concepts such as classification, clustering, anomaly detection, or feature engineering is a strong plus.
• Experience with Internet protocols (HTTP, DNS, TLS, SSH, PKI) or security/telemetry systems is highly desirable.

Benefits:

• Competitive salary ranging from $153,000 to $212,000 depending on location and experience
• Bonus eligibility and equity participation
• Comprehensive health, dental, and vision insurance starting on day one
• 401(k) retirement plan with company match
• Remote-first work environment across the continental United States
• Exposure to large-scale Internet intelligence systems and cutting-edge AI/ML security applications
• Opportunity to work with global organizations and high-impact security datasets
• Inclusive and innovation-driven engineering culture.