Senior Staff Integration Engineer – Security Platform, Data Pipelines

Zscaler

. Connect and onboard diverse cybersecurity data sources .

Posted 9/22/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing the complete data pipeline lifecycle within cybersecurity platforms, leveraging Python and SQL for data transformations and workflow automation. Proven ability to integrate diverse security tools and communicate technical findings effectively to stakeholders.

Highest-signal resume keywords

Data Pipeline ManagementPython ProgrammingSQL ProficiencyCybersecurity Platforms ExperienceAI/ML Technologies Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MappingData NormalizationData DeduplicationData MergingData UnificationData ModelingData ParsingWorkflow AutomationEnd-to-End TroubleshootingTechnical Communication

Soft Skills

Problem-SolvingAttention to Detail

Tools & Technologies

SIEMUnified Vulnerability ManagementEDRVulnerability ScannersCNAPPCSPMTicketing SystemsCMDBIdentity ProvidersCloud Logs

Industry Keywords

CybersecurityExposure ManagementThreat ManagementData QualityData Pipeline Lifecycle

Tech Stack

Tools & technologies

CloudCyber SecurityPythonSQL

About the role

Key responsibilities & impact

Connect and onboard diverse cybersecurity data sources
Map and normalize security data to power exposure and threat management use cases
Customize workflows to deliver measurable outcomes
Configure, customize, and automate data transformations and workflows using Python and APIs
Partner with cybersecurity subject matter experts to onboard data pipelines and map IT and security sources to customer use cases
Troubleshoot pipeline health and audit customer data across environments
Identify data quality issues and security gaps, and define remediation steps
Collaborate with Sales, Product, and Services teams on implementation and integration plans
Communicate technical findings to stakeholders
Provide field-based insights to Engineering to drive product improvements
Report to the Director, Software Development Engineering in the Technical Implementation and Integration department

Requirements

What you’ll need

Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
Hands-on experience managing the complete data pipeline lifecycle, including ingestion, mapping, deduplication, normalization, merging, and unification
Specialized experience working with data pipelines within cybersecurity platforms (e.g., SIEM, Unified Vulnerability Management)
Broad understanding of vulnerability, exposure, and threat management
Proven ability to integrate diverse security tools and data sources, such as EDR, vulnerability scanners, CNAPP/CSPM, ticketing systems/CMDB, identity providers, and cloud logs
Strong proficiency in data modeling, SQL, and Python
Experience with data parsing, transformations, APIs, and end-to-end troubleshooting of complex data issues
Experience designing or optimizing security data pipelines that feed AI-driven anomaly detection models or automated threat-hunting systems
Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience (preferred)
Excellent problem-solving abilities and a high level of attention to detail

Benefits

Comp & perks

Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks
Hybrid working model