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Threat Exposure Analytics Engineer

Cloud Destinations LLCUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
SQLETLC#GoPythonAzurePower BI

Job description

The Threat Exposure Analytics (TEA) Engineer builds the data pipelines, automation and analytics that give the bank a clear, current view of its cyber exposure. This is a hands-on engineering role: you will pull data from many security and technology sources, transform it, and turn it into reliable datasets and reporting that security leadership can act on.

Note: This is a W2 only role — C2C, C2H will not be considered

Key Responsibilities

  • Design, build and maintain ETL pipelines that ingest and normalize data from vulnerability, asset, threat and cloud sources.
  • Write and optimize SQL and Kusto (KQL) queries to analyze large datasets and support exposure reporting.
  • Develop code in Python, Golang, C# or a comparable language to automate data collection, transformation and delivery.
  • Automate manual data handling and reporting to improve accuracy, timeliness and repeatability.
  • Build and support data solutions on cloud platforms, applying sound data quality and security practices.
  • Partner with security, risk and technology teams to translate exposure questions into data requirements and deliverables.
  • Document pipelines, data definitions and processes so they can be supported and scaled.

Required Experience

  • Prior experience working in financial services or banking is required. Candidates without a financial background will not be considered.
  • 8+ years of experience of hands on experience
  • Software development experience in Python, Golang, C# or a comparable language.
  • ETL pipeline development.
  • Strong SQL and Kusto skills and hands-on data plumbing experience.
  • Data automation and transformation.
  • Experience with cloud technologies.

Preferred Experience

  • Cybersecurity data, such as vulnerability management, asset inventory or threat intelligence.
  • Azure data tooling (Azure Data Explorer, Sentinel, Defender) or comparable cloud data platforms.
  • Dashboarding and reporting in Power BI or a similar tool.
  • Working in a regulated environment, with knowledge of controls and frameworks such as NIST.

Soft Skills

  • Clear communicator who can explain data and findings to technical and non-technical stakeholders.
  • Self-directed and comfortable working independently in a fully remote team.

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