
at Vanguard
Asset ManagementPosted 12 days ago
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**Senior AWS Data Engineer** role with Vanguard, developing scalable, serverless data solutions to power analytics and AI. Key responsibilities include designing and maintaining ETL pipelines, developing AI-driven solutions, building serverless workflows using AWS services, integrating data from various sources, and collaborating with cross-functional partners. This role requires experience with Python (pandas, Pyspark), AWS serverless services like Glue and Lambda, and SQL. Familiarity with Agile environments, JIRA, and Confluence is a plus. Join our mission to drive client financial success while enjoying hybrid work arrangements. Visa sponsorship not offered.
- Compensation
- Not specified USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Full Job Description
Application Engineer III - AWS Data Engineer
About the Role
Join Vanguard's mission to deliver investment success for all investors. We're seeking an AWS Data Engineer to help shape and evolve an enterprise data platform that manages assets and cash flow data across our lines of business. You'll build scalable, serverless data solutions that power analytics and decision-making across the firm.
You'll have opportunities to drive innovation through proof-of-concept development and AI system implementations that address emerging business needs. You'll also participate in strategic initiatives like process optimizations, platform modernization, system rebuilds, and AI enablementhelping shape the future of our data infrastructure.
What You'll Do
Design, build, and maintain ETL pipelines for asset and cash flow data, working toward AI-readiness
Develop proof-of-concepts and AI-driven solutions to explore new capabilities and meet evolving business needs
Build serverless workflows using AWS services like Glue, Lambda, and Step Functions, with guidance on reliability, performance, and cost optimization
Integrate data from various sources and APIs to improve data flows and system efficiency
Translate business and technical requirements into clean, well-tested code
Apply security and data protection best practices aligned with enterprise standards
Support production deployments and participate in change control processes
Collaborate with cross-functional partners to troubleshoot issues and improve the data platform
Communicate technical concepts clearly to both technical and non-technical audiences
Support team members and contribute to continuous improvement of processes and workflows
Maintain technical and operational documentation
What You'll Bring
Experience with Python (Pyspark and or pandas/polars/duckdb) and AWS serverless services such as Glue, Lambda, Step Functions, CloudFormation, SNS, SQS
Understanding of data lake/warehouse design, SQL, and data optimization
Experience building and supporting ETL pipelines and data systems
Ability to develop proofs-of-concept and work through technical challenges
Experience working in Agile environments and familiarity with tools like JIRA and Confluence
Comfort with monitoring, observability, and operational metrics
Nice to Have
Experience with enterprise-scale data platforms or AI/ML implementations
Background in financial services or regulated environments
Interest in clean architecture, automation, and operational excellence
Mentoring experience
This role does not offer visa sponsorship
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.About Vanguard
At Vanguard, we don't just have a missionwe're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.




