Data Engineering Cybersecurity Jobs

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1mo ago

Senior Cybersecurity Detection Engineer

Calance US Charlotte, NC

Charlotte, NC

1mo ago Closed

Full time Senior Analytics Cloud Platforms

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

Calance US is seeking a Senior Cybersecurity Detection Engineer for an onsite role in Charlotte, NC. The position centers on SIEM-based detection engineering, data analysis, and algorithm development, with a focus on designing, deploying, and operationalizing detections across on‑prem, cloud, and SaaS environments.

Responsibilities

Develop and refine detections by crafting correlations and algorithms, and by writing Python scripts that leverage security telemetry and enterprise data sources.
Engage hands-on with SIEM and detection platforms such as Splunk or equivalent, configuring rules, optimizing alerts, and enhancing signal quality.
Analyze large data sets through database queries (SQL or similar), across multiple data sources to identify meaningful signals for detection.
Research threat scenarios and define required data sets in collaboration with Analysts, Focus Area Leads, and other subject-matter experts.
Onboard new data feeds by reviewing documentation, assessing readiness, documenting feed attributes, and supporting onboarding efforts.
Test and operationalize alerts through established team processes, including micro-playbook development and SOAR-related activities.
Investigate security events by examining raw data, validating detections, and understanding network, endpoint, and cloud behaviors.
Document detections, integrations, and processes clearly to ensure knowledge sharing across the team.
Continue expanding technical breadth in applied data analysis, detection engineering techniques, and emerging automation approaches.
Lead security problems or integrations from concept to deployment, ensuring practical implementation.
Write Python scripts to connect data sources, ingest data, build correlations, and generate actionable detections.
Understand the data underpinning detections, including what is populated, what is missing, and what requires improvement.
Collaborate effectively with a high-performing team, sharing knowledge and avoiding isolated workflows.
Deliver practical algorithms and tuned detections that improve enterprise security outcomes.

Requirements

3–5 years of professional experience in cybersecurity, detection engineering, or a closely related technical role.
Hands-on experience with a SIEM, including authoring and tuning detection rules in Splunk or an equivalent platform.
Strong Python skills applied in real-world environments, not solely academic exposure.
Solid data analysis and querying experience, including SQL and handling large data sets.
Experience joining data, analyzing patterns, and assessing relevance for threat detection.
Solid understanding of network security fundamentals and how enterprise environments are defended.
Strong communication skills with the ability to clearly explain technical work to teammates.
A collaborative mindset, with success measured by team outcomes rather than individual visibility.

Technologies

Python
SQL
Splunk
CRIBL
Palo Alto XSIAM
Databricks
Apache Spark

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