Vanguard

Vanguard

Application Engineer III - AWS Data Engineer

Malvern, PA · Mid

No sponsorshipDetected 1 day ago
PythonSQLAWSMachine LearningPandasData EngineeringJiraConfluenceCollaborationMentoring

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36Risky
Cap-exempt (no lottery)0
Sponsors this role75
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • 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.

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
  • Support production deployments and participate in change control processes
  • Collaborate with cross-functional partners to troubleshoot issues and improve the data platform
  • Support team members and contribute to continuous improvement of processes and workflows
  • Maintain technical and operational documentation
  • Understanding of data lake/warehouse design, SQL, and data optimization

Requirements

  • Experience with Python (Pyspark and or pandas/polars/duckdb) and AWS serverless services such as Glue, Lambda, Step Functions, CloudFormation, SNS, SQS

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

Company info

  • About Vanguard At Vanguard, we don't just have a mission-we're on a mission.

Visa & Work Authorization

  • Vanguard is not offering visa sponsorship for this position.
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This listing is sourced directly from Vanguard's careers page and normalized into a canonical job model.