Application Engineer III - AWS Data Engineer

Vanguard
Malvern, PA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Multitier Architecture Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Confluence JIRA Data Infrastructure Extract Transform Load (ETL) Data Systems Python (Programming Language) Amazon Simple Notification Service (SNS)
+9 more
SQL Databases Data Streaming Cloudformation Data Lakes Pyspark AWS Data Analytics Data Management Amazon Simple Queue Service (SQS) Serverless Computing

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

  • 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

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

  • 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

About the company

About Vanguard

At Vanguard, we don’t just have a mission-we’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., Vanguard, one of the world’s leading investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients’ best interests.

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