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.

Responsibilities

• 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
• Maintain technical and operational documentation

Requirements

• 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
• Experience developing proofs-of-concept and working through technical challenges
• Experience working in Agile environments and familiarity with tools like JIRA and Confluence
• Comfort with monitoring, observability, and operational metrics

Qualifications

• 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

Skills

• Python (Pyspark and/or pandas/polars/duckdb)
• AWS serverless services (Glue, Lambda, Step Functions, CloudFormation, SNS, SQS)
• Data lake/warehouse design, SQL, and data optimization
• ETL pipeline and data system development
• Proof-of-concept development and technical challenge solving
• Agile environment familiarity and tool proficiency (JIRA, Confluence)
• Monitoring, observability, and operational metrics

Benefits

• Opportunities to drive innovation through proof-of-concept development and AI system implementations
• Participation in strategic initiatives like process optimizations, platform modernization, system rebuilds, and AI enablement
• Chances to shape the future of our data infrastructure

Pay

Commensurate with experience

Schedule

N/A

Benefits

• Not specified

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Application Instructions

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