Our client is seeking 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 their bank. Must have a great understanding of data engineering within cybersecurity context, extensive experience with cloud-native tools (especially AWS), and a passion for automation, security, intelligent
orchestration, and resilience.
location: Quincy, Massachusetts
job type: Contract
salary: $80 - 84 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
- 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.
qualifications:
- Experience level: Experienced
- Minimum 8 years of experience
- Education: Bachelors
skills:
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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.
