Application Engineer - III

Malvern, PA

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Vanguard’s Trading Analytics & Strategy (TAS) team leverages data, execution technology, and research to advance vanguards trading strategies, empowering traders to achieve the lowest trading costs, unmatched efficiency, and increased competitiveness. As an Engineer on the full stack team, you will be dedicated to help design, implement, and maintain a modern, robust, and scalable platform which will enable the TAS team to meet the increasing demands from the various trading desks.

Responsibilities:

  • Provide senior level system analysis, design, development, and implementation of applications and databases. Integrate third party products.
  • Translate technical specifications into code for complex new or enhancement projects for internal clients. Write programs, develop code, test artifacts, and produce reports. Employ software development techniques to ensure tests are implemented in a way that support automation.
  • Elevate code into the development, test, and production environments on schedule. Provide follow up production support. Submit change control requests and documents.
  • Thoroughly understand software development methodology. Thoroughly understand development architecture standards. Train and mentor staff with less experience. Resolve elevated issues.
  • Participate in design, code, and test inspections throughout the life cycle to identify issues. Explain technical considerations at related meetings, including those with internal clients. Perform systems analysis activities.
  • Thoroughly understand client business functions and technology needs. Has a broad understanding of Vanguard's technologies, tools, and applications, including those that interface with business area and systems.
  • Interface with cross functional team members, and communicate systems issues at the appropriate technical level for each audience.
  • Thoroughly understand and comply with Information Technology and Information Security policies and procedures, and verify that deliverables meet requirements.
  • Participate in special projects and performs other duties as assigned.


Qualifications:

  • Minimum of five years related work experience, with at least one year of development experience.

  • Undergraduate degree or equivalent combination of training and experience.

Skillsets needed:

  • Proficiency in Python programming

  • Strong expertise in SQL, Presto, HIVE, and Spark

  • Experience in big data technologies such as Spark and developing distributed computing applications using PySpark

  • Experience with libraries for data manipulation and analysis, such as Pandas, Polars and NumPy

  • Understanding of data pipelines, ETL processes, and data warehousing concepts

  • Strong experience in building and orchestrating data pipelines

  • Experience in building APIs 

  • Write, maintain, and execute automated unit tests using Python

  • Follow Test-Driven Development (TDD) practices in all stages of software development

  • Proficiency in data visualization tools and ability to create visual representations of data, particularly using Tableau  (Nice to have)

  • Extensive experience with key AWS services/components including EMR, Lambda, Glue ETL, Step Functions, S3, ECS, Kinesis, IAM, RDS PostgreSQL, Dynamodb, Timeseries database, CloudWatch Events/Event Bridge, Athena, SNS, SQS, and VPC

  • Proficiency in developing serverless architectures using AWS services

  • Experience with both relational and NoSQL databases

  • Skills in designing and implementing data models, including normalization, denormalization, and schema design

  • Knowledge of data warehousing solutions like Amazon Redshift

  • Strong analytical skills with the ability to troubleshoot data issues

  • Good understanding of source control, unit testing, test-driven development, and CI/CD

  • Ability to write clean, maintainable code and comprehend code written by others

  • Knowledge of trading and investment data  (Nice to have)

  • Experience with OneTick / KDB preferred (Nice to have)

Special Factors

Sponsorship

Vanguard is not 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.

Our commitment to diversity, equity, and inclusion

Vanguard’s commitment to diversity, equity, and inclusion (DEI) is central to our ability to deliver on our mission. We aspire to create a work environment that is inclusive, equitable, and diverse—one that enables our employees, whom we call crew, to thrive and bring their best selves to work every day on behalf of our clients.

Cultivating DEI lifts our entire organization, and everyone shares accountability for our progress—from our senior leaders who lay the foundation and set the example for inclusive behaviors to crew who are growing in their personal DEI learning experiences.

Together, we’re on a mission. We are fueled by the value of diverse voices and connected through friendships and a culture of care—for our clients, our communities, and each other.    

Vanguard’s DEI journey has no finish line. Our commitment is enduring, and we remain focused on the path ahead. To learn more about Vanguard goals and progress toward DEI, download our Diversity, Equity, and Inclusion Report.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: APIs Architecture Athena AWS Big Data CI/CD Data pipelines Data visualization Data Warehousing DynamoDB ECS ETL Kinesis Lambda NoSQL NumPy Pandas Pipelines PostgreSQL PySpark Python Redshift Research Security Spark SQL Step Functions Tableau TDD Testing Trading Strategies

Perks/benefits: Career development Team events

Region: North America
Country: Canada

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