Development Engineer 4

Job Summary

Job Description

Core Responsibilities

• Provide secure design and engineering guidance for security data collection, transformation, correlation, insights, and analytics.
  • Continually evolve our data pipeline, storage, signal, and insight capabilities in support of our overall NBCUniversal Cyber Security vision
  • Develop tools and algorithms for data parsing, normalization, and standardization to align with security data models and ensure data consistency and usability.
  • Leverage ML algorithms to enhance data processing tasks such as anomaly detection, data cleansing, and feature extraction.
  • Build correlation and data enrichment engines to drive actionable insights.
  • Collaborate with security operations teams to optimize data workflows and implement solutions that support their threat response and research needs.
  • Automate repetitive tasks and optimize data processes for reliability and performance.
  • Facilitate knowledge sharing by creating and maintaining detailed documentation and diagrams, while also collaborating with other team members on standard processes and technology roadmaps.
  • Be able to thrive in a fast-paced environment using proper organizational skills to ensure deliverables are met.
  • Ensure uninterrupted ingestion of critical systems data into threat detection, analytics, and response systems.
  • Support and mentor junior engineers on the team.

Employees at all levels are expected to:

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  8+ years development and data engineering experience.
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  Proficiency in programming languages such as Python, Bash, Java or Golang.
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  Experience with ETL frameworks like Apache Spark, Airflow, or similar tools.
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  Data pipeline experience with common pipeline and management tools such as Vector, Logstash or Cribl.
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  Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-Learn
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  Familiarity with data lake architectures and big data technologies (AWS Security Lake, Data Bricks, Snowflake, Hadoop, Kafka) in a large, complex deployment.
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  Strong knowledge of Data modeling, SQL and relational databases.
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  Knowledge of data processing frameworks and data manipulation libraries (e.g., Pandas, Dask).
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  Experience with cloud computing platforms (e.g. AWS, Azure)
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  Direct experience building systems in AWS and using devops toolchains including (Git, GitHub Actions, Jenkins, CodePipeline, Azure devops, etc.).
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  Familiarity with Serverless services like AWS Lambda or Azure Functions.
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  Knowledge of microservices architecture and containerization technologies.
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  Highly collaborative; personally, and professionally self-aware; able to and interested in interacting with employees at all levels; embody integrity; and represent and inspire the highest ethical standards.
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  A thirst for improvement and an inclination to thoughtfully challenge the status quo.
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  Desire to try things and iterate on them, fail fast, and focus on functionality that matters.
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  Eagerness to learn new security tools/services to support broadening our portfolio.

Disclaimer:

• This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.

Please visit the benefits summary on our careers site for more details.

Education

Certifications (if applicable)

Relevant Work Experience