Staff Security Data Engineer

1 Month ago • 8 Years + • Data Analysis

Job Summary

Job Description

Toast is seeking a Staff Security Data Engineer to design, prototype, build, and maintain robust data pipelines and systems that enhance security and detection. The role involves collaborating with security, fraud, and abuse teams, participating in threat modeling experiments to identify attackers, and creating data models for security analytics. The engineer will also develop automation tools for security data management and stay updated on data engineering and security trends. A Bachelor's degree in Computer Science, Engineering, Mathematics, or Physics is required, along with 8+ years of experience in data engineering with a focus on security data, proficiency in Python, Linux, data warehousing solutions like Google BigQuery, ETL tools like Apache Spark, AI/ML libraries, and cloud platforms like AWS.
Must have:
  • 8+ years of experience in data engineering with a focus on security data
  • Design and implement scalable data pipelines for security data
  • Collaborate with security, fraud, and abuse teams
  • Proficiency in Python and Linux system administration
  • Experience with data warehousing solutions (e.g., Google BigQuery)
  • Familiarity with ETL tools (e.g., Apache Spark)
  • Experience with AI/ML libraries (e.g., TensorFlow, PyTorch)
  • Experience with Cloud platforms (AWS)
  • Strong analytical and communication skills
Good to have:
  • Advanced degrees in information or computer science
  • Knowledge of compliance frameworks (PCI, ISO, GDPR)
  • Experience with data visualization tools (e.g., Grafana, Kibana)

Job Details

At Toast, we are committed to creating innovative solutions that enhance security and leverage the power of artificial intelligence to drive restaurant business growth and help them thrive. We are seeking a highly skilled and experienced security professional to join our dynamic team.

Job Overview:

The Staff Security Data Engineer  will be responsible for designing, prototyping, building, and maintaining robust data pipelines and systems that enhance our security and detection posture. We are looking for an experienced data engineer with a strong understanding of entity and user behavioral analysis, with an interest in hard data science and classical machine learning methods. We will favor candidates with an independent mindset and a strong desire to discover attackers wherever they might hide.

About this roll*: (Responsibilities)

  • Data Pipeline Development: Design and implement efficient and scalable data pipelines that process security-related data, ensuring integrity and availability.
  • Security Integration: Collaborate with security, fraud, and abuse teams to integrate data sources relevant to threat detection, incident response, and compliance monitoring.
  • Threat Modeling: Propose and participate in experiments to explore how we might better unmask attackers in our systems, both in heuristic detections and unattended learning pipelines.
  • Data Modeling: Create and maintain data models that support our security analytics and reporting needs. Optimize queries for performance and usability.
  • Automation and Tooling: Develop automation tools to enhance our security data management and support data collection, analysis, and reporting processes.
  • Stay Current: Keep abreast of the latest trends and advancements in data engineering and security to ensure our strategies remain cutting-edge.

Do you have the right ingredients*? (Requirements)

  • Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or Physics. Equivalent experience acceptable.
  • Experience:
    • 8+ years of experience in data engineering, with a strong focus on security data.
    • Proven experience building and maintaining large-scale data pipelines and systems.
  • Technical Skills:
    • Proficiency in Python and other data-processing languages
    • Proficiency in Linux system administration and shell scripting
    • Strong understanding of data warehousing solutions (e.g., Hive, Google BigQuery).
    • Familiarity with ETL tools (e.g., Apache Spark) and data integration techniques.
    • Knowledge of security frameworks and standards, such as NIST, ISO, or CIS.
    • Experience with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.) for data analysis and modeling.
    • Experience with Cloud platforms, specifically AWS, and its services.
  • Analytical Mindset: Ability to analyze complex data and draw actionable insights related to security risks and vulnerabilities.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex concepts to both technical and non-technical audiences.
  • Independent Mindset: Ability to self-direct towards the solution to problems. Asynchronous collaboration through logging and documentation is a must.

Special Sauce: (non-essential skills, nice to have)

  • Advanced degrees in information or computer science
  • Knowledge of compliance frameworks such as PCI, ISO, GDPR, or similar.
  • Experience with data visualization tools (e.g., Grafana, Kibana, etc

 

Diversity, Equity, and Inclusion is Baked into our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.

We Thrive Together

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.

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For roles in the United States, It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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