Application Engineer III - AWS Data Engineer
Role details
Job location
Tech stack
Job description
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 enablement-helping shape the future of our data infrastructure.
What You'll Do
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Design, build, and maintain ETL pipelines for asset and cash flow data, working toward AI-readiness
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Develop proof-of-concepts and AI-driven solutions to explore new capabilities and meet evolving business needs
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Build serverless workflows using AWS services like Glue, Lambda, and Step Functions, with guidance on reliability, performance, and cost optimization
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Integrate data from various sources and APIs to improve data flows and system efficiency
Requirements
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Experience with Python (Pyspark and or pandas/polars/duckdb) and AWS serverless services such as Glue, Lambda, Step Functions, CloudFormation, SNS, SQS
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Understanding of data lake/warehouse design, SQL, and data optimization
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Experience building and supporting ETL pipelines and data systems
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Ability to develop proofs-of-concept and work through technical challenges
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Experience working in Agile environments and familiarity with tools like JIRA and Confluence
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Comfort with monitoring, observability, and operational metrics
Nice to Have
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Experience with enterprise-scale data platforms or AI/ML implementations
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Background in financial services or regulated environments
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Interest in clean architecture, automation, and operational excellence
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Mentoring experience