Data Engineer

Vanguard•Malvern, PA

10d•Hybrid

About The Position

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 largest 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 our Privacy Policy to read more information and learn how to change your preferences.

Requirements

Undergraduate degree or equivalent combination of training and experience.
Minimum of two years related work experience.
Knowledge building AWS cloud architecture and supporting services and technologies (Eg: ECS, Glue, S3, Glue Crawler, Redshift, Step Functions, Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker).
Intermediate expereince building Spark data processing applications (Python, Pyspark).
Intermediate experience with SQL development.

Responsibilities

Writes basic ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
Executes and analyzes data reporting and quality control queries.
Escalates issues as needed to ensure resolution.
Translates business specifications into design specifications and code with support from Data Engineering Senior Specialists.
Responsible for writing programs, ad hoc queries, and reports.
Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
Partners with internal clients to gain a basic understanding of business functions and informational needs.
Gains working knowledge in tools, technologies, and applications/databases in specific business areas and company-wide systems.
Supports senior engineers in all phases of solution development.
Tests code thoroughly for accuracy of intended purpose.
Provides data analysis guidance as required.
Provides tool and data support to business users and team members.
Works with management to onboard new analysts and provide informal coaching and training.
Supports testing of new software releases through regression testing.
Identifies issues and elevates to senior data engineers.
Participates in special projects and performs other duties as assigned.