Data Engineer managing and expanding enterprise business intelligence and data platform. Focusing on Tableau development and administration with a strong engineering background.
About the role
- Lead Vanguard's data engineering team for vulnerability management. Build scalable security data pipelines and partner with security and risk stakeholders.
Responsibilities
- Build, mentor, and lead a team of data engineers supporting enterprise vulnerability management.
- Establish clear objectives, success metrics, and career development opportunities for team members.
- Oversee the design and implementation of data pipelines that ingest, normalize, and integrate security data from multiple sources.
- Ensure data quality, consistency, and timeliness for reporting and analytics use cases.
- Partner with platform owners and security teams to ensure proper integration of vulnerability and posture data.
- Guide the team in adopting best practices for data engineering, automation, and reliability.
- Collaborate with vulnerability management, application security, and risk functions to ensure data supports decision-making at all levels.
- Translate program requirements into scalable data engineering solutions.
- Provide regular updates on team progress, data quality, and program enablement.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related discipline.
- 7+ years of experience in data engineering or security engineering.
- At least 3+ years in a leadership role.
- Demonstrated expertise with modern data engineering practices (ETL/ELT, data pipelines, APIs, automation).
- Familiarity with vulnerability management or security data domains.
- Strong leadership and communication skills.
- Experience with cloud-native data platforms and tools (preferred).
- Knowledge of common security and vulnerability management tools (e.g., scanning platforms, posture management systems) (preferred).
- Understanding of quantitative risk or posture reporting frameworks (preferred).
- Strong track record of building high-performing engineering teams (preferred).
- Sponsorship: Vanguard is not offering visa sponsorship for this position.
Benefits
- Opportunity to establish and scale a specialized data engineering team at enterprise level.
- A culture that values innovation, collaboration, and professional growth.
- Competitive compensation and benefits, with opportunities for advancement.
- Hybrid working model designed to capture benefits of flexibility while enabling in-person collaboration.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Data Engineer overseeing engineers and advancing the data platform at American Family Insurance. Creating tools and infrastructure to empower teams across the company.
Working Student contributing to data engineering projects for AI/ML workflows while gaining hands - on experience with data pipelines and tools.
Data Architect designing end - to - end Snowflake data solutions and collaborating with technical stakeholders at Emerson. Supporting the realization of Data and Digitalization Strategy.
Manager of Data Engineering leading data assets and infrastructure initiatives at CLA. Collaborating with teams to enforce data quality standards and drive integration efforts.
Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
Chief Data Engineer leading Scania’s Commercial Data Engineering team for growing sustainable transport solutions. Focused on data products and pipelines for BI, analytics, and AI.
Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
Data Engineer designing and building scalable ETL/ELT pipelines for enterprise - grade analytics solutions. Collaborating with product teams to deliver high - quality, secure, and discoverable data.
Data Engineer responsible for data integrations with AWS technology stack for Adobe's Digital Experience. Collaborating with multiple teams to conceptualize solutions and improve data ecosystem.