Sr. Staff Integration Engineer (Security Platform and Data Pipelines)
Zscaler, Inc.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer and remote posting increase applicants, but niche security data-pipelines specialization limits competition.
Strong cybersecurity and SIEM pipeline focus reduces transferability across industries.
Requires specialized cybersecurity data-pipeline experience and mandatory Python/SQL skills, enforcing strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Own the integration and onboarding of diverse cybersecurity data sources into Zscaler’s SecOps platform to enable exposure and threat management use cases.
Design, automate, and troubleshoot complex security data pipelines and workflows using Python, APIs, and data transformation techniques.
Partner cross-functionally with cybersecurity SMEs, Sales, Product, and Services teams to translate customer needs into actionable implementation plans and communicate technical insights to stakeholders.
Minimum Requirements
Hands-on experience managing data pipeline lifecycle including ingestion, mapping, deduplication, normalization, merging, and unification within cybersecurity platforms (e.g., SIEM, Unified Vulnerability Management).
Proven ability to integrate security tools and data sources such as EDR, vulnerability scanners, CNAPP/CSPM, ticketing systems/CMDB, identity providers, and cloud logs.
Strong proficiency in Python, SQL, data modeling, and API interaction for data parsing and transformations.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced working with cybersecurity data pipelines focused on vulnerability, exposure, and threat management use cases.
Comfortable navigating ambiguity with a mix of strategic oversight and hands-on execution.
Able to collaborate effectively across multiple teams including engineering, product, and sales to deliver measurable customer security outcomes.