Application Engineer III - AWS Data Engineer

Vanguard
Malvern, United States of America
yesterday

Role details

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

Job location

Malvern, United States of America

Tech stack

Multitier Architecture
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Confluence
JIRA
Data Infrastructure
ETL
Data Systems
Python
Amazon Web Services (AWS)
SQL Databases
Data Streaming
Cloudformation
Data Lake
PySpark
Amazon Web Services (AWS)
Data Management
Amazon Web Services (AWS)
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. This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to ourPrivacy Policy (https://www.vanguardjobs.com/site-privacy-policy/) to read more information and learn how to change your preferences. Read More

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