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Systems Engineer Vanguard Jobs (NOW HIRING)

Cloud Engineer Vanguard Hybrid Malvern, PA $65-68/hr No fake visa and no H1B Need LinkedIn Details ... existing IT systems that deliver business value * Develops automated tests for functional ...

... systems from the ground up. As a Senior Reliability Engineer at Vanguard, you will play a critical ... role in solving impactful operational problems. You are curious and take a proactive approach to ...

Build and maintain integrations between security platforms and enterprise systems (e.g., CI/CD ... About Vanguard At Vanguard, we don't just have a mission-we're on a mission. To work for the ...

Team Revenant is a full-stack engineering team within Vanguard's Portfolio Construction product sub ... Provides senior level system analysis, design, development, and implementation of applications and ...

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Systems Engineer Vanguard information

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How much do systems engineer vanguard jobs pay per year?

As of Jun 4, 2026, the average yearly pay for systems engineer vanguard in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.
Infographic showing various Systems Engineer Vanguard job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,215 per year, or $61.2 per hour.
Investment Data & Analytics Engineer- Vanguard Personalized Indexing

Investment Data & Analytics Engineer- Vanguard Personalized Indexing

Vanguard Group

Oakland, CA • On-site

$131K - $157K/yr

Full-time

Posted 23 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services


Job description

Key Responsibilities
Investment Analytics & Tooling
  • Design, build, and maintain Python-based analytics tools that support investment research, portfolio analysis, and operational workflows.
  • Develop interactive analytics applications and dashboards using Python analytics frameworks (e.g., Plotly Dash or similar).
  • Partner with investment and research stakeholders to translate analytical needs into scalable, production-ready solutions.
  • Enable rapid experimentation while ensuring code quality, reliability, and maintainability.
  • Investment Data Platform & Engineering
  • Contribute to the design and evolution of investment data lakes and data pipelines on AWS.
  • Build and maintain data ingestion, transformation, and access layers that support analytics and downstream investment use cases.
  • Apply sound data engineering practices to ensure data quality, consistency, and observability.
  • Collaborate with platform and architecture teams to align analytics solutions with VPI's broader data strategy.

Cloud-Native Development (AWS)
  • Develop and operate analytics and data solutions on AWS, leveraging managed services where appropriate.
  • Build cloud-native, scalable components that integrate with the broader VPI platform.
  • Participate in CI/CD practices, automated testing, and operational readiness for analytics workloads.

Production Support & Team Engagement
  • Participate in support and operational activities, including investigation and resolution of analytics or data-related issues.
  • Contribute to on-call or support rotations as required, with a focus on learning and continuous improvement.
  • Actively engage in team ceremonies, design discussions, and code reviews.
  • Continuously improve engineering practices, documentation, and reliability of analytics solutions.

Required Qualifications
  • 3+ years of professional experience in software engineering, data engineering, or analytics engineering.
  • Strong proficiency in Python, including experience with data and analytics libraries.
  • Experience developing analytics or visualization solutions using frameworks such as Plotly Dash (or comparable Python-based tools).
  • Hands-on experience working with AWS-based platforms.
  • Familiarity with data engineering concepts such as data lakes, pipelines, schemas, and data quality.
  • Exposure to investments, finance, or capital markets through academic coursework or professional experience.
  • Ability to operate as a hands-on individual contributor while collaborating effectively within a team.

Preferred Qualifications
  • Experience building or working with investment or financial datasets (e.g., market data, portfolios, transactions).
  • Familiarity with portfolio analytics, investment research workflows, or quantitative analysis.
  • Experience with data lake architectures and analytical data stores.
  • Exposure to JVM-based languages such as Java.
  • Experience supporting production analytics systems in a regulated or high-availability environment.

What Success Looks Like
  • You are actively building Python-based analytics tools that enable investment research and decision-making.
  • You help strengthen the investment data foundation that underpins VPI's analytics and platform capabilities.
  • You balance rapid analytical development with production-quality engineering practices.
  • You collaborate closely with engineers, investment partners, and platform teams to deliver meaningful business impact.
  • You grow your technical depth while contributing reliably to a mission-critical investment platform.

Special Factors
Sponsorship
Vanguard is offering visa sponsorship for this position.
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.
Future of Work
During the pandemic, we transitioned to a work from home model for the majority of our crew and we continue to interview, hire, and on-board future crew remotely.
As we have developed the path forward, we have taken a thoughtful approach that both maximizes the advantages of working remotely and the many benefits of coming together and collaborating in a shared workspace. We believe that in-person interactions among our crew are important for preserving our unique culture and advantageous for the personal development of our crew.
When our Crew return to the office, many will work in our hybrid model. A smaller proportion of our crew will operate in the Work from Home work model (for example, field sales crew); or in the Work from Office model (for example, portfolio managers).
The working model that your role falls into will be communicated to you in the interview process - please do ask if you are unsure. We encourage you to make the decision regarding your job interview and offer knowing which model your role will fall into. We will test and learn as our ways of working evolve and will continue to evaluate working models along the way.
Salary Range:
$90,000.00 - $150,000.00

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