Cyxtera Cybersecurity, Inc. dba Appgate Cybersecurity, Inc. logo

Staff / Principal Data Engineer

Cyxtera Cybersecurity, Inc. dba Appgate Cybersecurity, Inc.

New York, NY · HybridJob$180–270K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$180–270K/yr
Location
New York, NYHybrid
Work Authorization
Not specified

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Job overview

Cyxtera Cybersecurity, Inc. dba Appgate Cybersecurity, Inc. seeks a Staff or Principal Data Engineer to own the AI-native data platform and data lake powering fraud detection across 360 Fraud Protection. The engineer will work hands-on with senior engineers, data scientists, and product partners to improve detection accuracy and protect brand trust. The role is based on-site in New York City three to four days per week.

Skills & qualifications

RequiredNice to have

Skills

Data Platform EngineeringData Lake EngineeringApache SparkApache FlinkBig Data SystemsBatch Data PipelinesStreaming Data PipelinesProduction EngineeringKubernetesCI/CDGenerative AIEmbedding ModelsVector DatabasesRetrievalCybersecurityThreat IntelligencePhishingMobile ThreatsMalwareTransaction DataTransaction Fraud Signals

Qualifications

Extensive Data Platform ExperienceEnd-to-End Infrastructure Ownership

Full job description

Job Description: We are seeking a Staff or Principal Data Engineer to own the AI-native data platform and data lake powering fraud detection across 360 Fraud Protection. Working hands-on alongside senior engineers, data scientists, and product partners, you will own the domain end-to-end to improve detection accuracy and protect brand trust. Job Responsibilities: -Own the design, build, and operation of the data lake and ingestion platform end-to-end, from architecture through production reliability. -Build low-latency batch and streaming pipelines that ingest, normalize, enrich, and serve model-ready data. -Establish data quality, freshness, completeness, lineage, and observability to ensure platform trustworthiness. -Build data pipelines that ground generative AI, including unstructured text processing, embedding generation, and vector storage. -Own deployment, CI/CD, and operational reliability of the platform on Kubernetes. -Additional responsibilities will be disclosed during the online application process. Job Requirements: -Extensive experience building and operating large-scale data platforms and data lakes, with comfort working at high data volumes. -Deep, hands-on expertise with Apache Spark, Apache Flink, and modern big-data systems. -Proven command of best practices for building and maintaining data pipelines in both batch and streaming modes. -Strong production engineering skills across the full delivery lifecycle, including Kubernetes and CI/CD tooling, with the ability to ship end-to-end. -A track record of owning data infrastructure end-to-end with limited supervision. -Experience with generative AI and embedding models, including embedding pipelines, vector databases, and retrieval. -A cybersecurity or threat intelligence background, with hands-on exposure to threat types such as phishing, mobile threats, and malware. -Familiarity with transaction data and transaction fraud signals. -Must be able to work on-site in New York City 3-4 days per week. -Minimal travel expected. Salary: $180,000 - $270,000 per year, plus 15% bonus / commission. To Apply: https://apply.workable.com/appgate/j/334C68CF91/

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