Senior Data Engineer, CASM Platform

JOB TITLE: Sr. Data Engineer. CASM Platform
JOB LOCATION: Quincy, MA (onsite 4 days a week)
WAGE RANGE*: $85-90/hr. W2
JOB NUMBER: 205467

REQUIRED EXPERIENCE:

Education & Qualifications

• Education: B.S., M.S., or Ph.D. in Computer Science, Data Science, Information Systems, or a related field, or equivalent professional experience.
• Technical Expertise: 8 years in data engineering with strong skills in Python, PySpark, SQL, and extensive, hands-on experience with Databricks and big data frameworks. Expertise in integrating data science workflows and deploying ML models for real-time and batch processing within a cybersecurity context.
• Cloud Proficiency: Advanced proficiency in AWS, including EC2, S3, Lambda, ELB, and container orchestration (Docker, Kubernetes). Experience in managing large-scale data environments on AWS, optimizing for performance, security, and compliance.
• Security Integration: Proven experience implementing SCAS, SAST, DAST/WAS, and secure DevOps practices within an SDLC framework to ensure data security and compliance in a high-stakes cybersecurity environment.
• Data Architecture: Demonstrated ability to design and implement complex data architectures, including data lakes, data warehouses, and lake house solutions. Emphasis on secure, scalable, and highly available data structures that support ML-driven insights and real-time analytics.
• Data Quality & Governance: Hands-on experience with automated data quality checks, data lineage, and governance standards. Proficiency in Databricks DQM or similar tools to enforce data integrity and compliance across pipelines.
• Data Analytics & Visualization: Proficiency with analytics and visualization tools such as Databricks, Power BI, and Tableau to generate actionable insights for cybersecurity risks, threat patterns, and vulnerability trends. Skilled in translating complex data into accessible visuals and reports for cross-functional teams.
• CI/CD and Automation: Experience building CI/CD pipelines that automate testing, security scans, and deployment processes. Proficiency in deploying ML models and data processing workflows using CI/CD, ensuring consistent quality and streamlined delivery.
• Agile Experience: Deep experience in Agile/Scrum environments, with a thorough understanding of Agile core values and principles, effectively delivering complex projects with agility and cross-functional collaboration.

Preferred Experience:

• Advanced Data Modeling & Governance: Expertise in designing data models for cybersecurity data analytics, emphasizing data lineage, federation, governance, and compliance. Experience ensuring security and privacy within data architectures.
• Machine Learning & Predictive Analytics: Experience deploying ML algorithms, predictive models, and anomaly detection frameworks to bolster CASM platform's cybersecurity capabilities.
• High-Performance Engineering Culture: Background in mentoring engineers in data engineering best practices, promoting data science, ML, and analytics integration, and fostering a culture of collaboration and continuous improvement.

Job Description:

Senior Data Engineer, CASM Platform (Cyber AI App & Attack Surface Management)

Who we are looking for

• The CASM (Cyber AI App & Attack Surface Management) Platform Product & Engineering team is looking for a Sr. Data Engineer, Cyber AI App & Attack Surface Management.
• CASM Platform team is focused on building enterprise-level robust and scalable Cyber AI applications and Platform to manage vulnerability, risk, security configurations, and attack surfaces oversight across the State Street Bank.
• We are seeking an experienced, hands-on Senior Data Engineer to join our CASM Platform team.
• Ideal candidates bring a deep understanding of data engineering within a cybersecurity context, extensive experience with cloud-native tools (especially AWS), and a passion for automation, security, intelligent orchestration, and resilience.
• You'll work in high-paced Agile Product & Engineering cross-functional teams, including Product, AI application, DevOps, and Data Quality Management (DQM), to transform the CASM platform into a single pane of glass for secure and insightful network asset and risk visibility.
• We have multiple openings for this role, and it is open to candidates with varying levels of experience.

Role Responsibilities
As a Senior Data Engineer, CASM Platform, you will:

• Data Integration & API Development: Integrate diverse cybersecurity data sources using variety of API mechanisms and to standardize and streamline data across the data and user planes. Build and maintain data APIs for seamless access to data pipelines, enabling real-time insights for applications, machine learning models, and analytical layers.
• Data Pipeline Engineering & Optimization: Design, develop, and optimize large-scale ETL/ELT pipelines on Databricks to efficiently process and transform cybersecurity data. Utilize Python, PySpark, and Databricks to automate and standardize data workflows across stages (raw, cleaned, curated), ensuring scalability and high performance.
• Data Quality & Governance: Implement automated data quality checks, leveraging Databricks DQM tools and CI/CD pipelines to uphold data integrity and governance standards. Ensure data lineage, metadata management, and compliance with cybersecurity and privacy regulations, applying rigorous quality standards across data ingestion and processing workflows.
• Data Analytics & Visualization: Design centralized data models and perform in-depth data analysis to support cybersecurity and risk management objectives. Develop visualizations and dashboards using tools like Databricks, encapsulate data to spin up to React.js application layer to provide stakeholders with actionable insights into threat landscapes, vulnerability trends, and performance metrics across the platform.
• Scalable & Secure Data Architecture: Architect and manage secure, high-performance data environments on Databricks, utilizing AWS services such as S3, ELB, and Lambda. Ensure data availability, consistency, and security, aligning with AWS best practices and data encryption standards to safeguard sensitive cybersecurity data.
• Agile Product & Engineering Continuous Delivery: Collaborate with advanced Agile Product & Engineering cross-functional teams to deliver data-driven insights through analytics tools and custom visualizations that inform strategy and decision-making. Empower stakeholders with timely, actionable intelligence from complex data analyses, enhancing their ability to respond to evolving cybersecurity risks.
• Data Science & ML Integration: deploy machine learning models, including predictive analytics, anomaly detection, and risk scoring algorithms, into the CASM platform. Leverage Python and PySpark to enable real-time and batch processing of model outputs, enhancing CASM Platform's proactive threat detection and response capabilities.
• Mentorship & Best Practices Promotion: Mentor junior engineers, establishing best practices in data engineering, DevOps, data science, and analytics. Encourage high standards in model deployment, data security, performance optimization, and visualization practices, fostering a culture of innovation and excellence.

About CASM Platform

• The CASM (Cyber AI App & Attack Surface Management) team is focused on building an Enterprise-level robust, scalable CASM Platform to support cybersecurity, vulnerability management, risk management, and attack surface oversight across the State Street Bank.
• As part of our mission, we build Cyber AI applications and leverage on 3 rd party product to manage vulnerabilities, risk exposure, cyber incidents, continuous compliance driving a unified platform approach for data and insights at enterprise scale.

Equal Opportunity Employer Veterans/Disabled

* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions.

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