Data Engineer, Specialist

Vanguard•Malvern, PA

3d•Hybrid

About The Position

The Data Engineer, Specialist designs and develops data engineering and analytics solutions supporting Financial Crimes and regulatory compliance. The role builds and optimizes ETL processes, data pipelines, database solutions, and cloud-based infrastructure to support reliable, scalable data processing and analysis. It integrates complex datasets from multiple sources and addresses data and software issues to maintain data consistency, quality, availability, and integrity. The position translates business and regulatory requirements into technical designs and maintainable code, queries, and data solutions. It builds AWS cloud services and Spark data-processing applications, creates dashboards and reports using Power BI or similar tools, and automates analysis and reporting workflows with Python, SQL, and other programming tools. The role works with business, compliance, analytics, technology, and leadership partners, tests data solutions, supports production implementation, and serves as a subject matter expert who mentors less-experienced data professionals and contributes to engineering standards and reusable practices. This is a hybrid role based at Vanguard headquarters in Malvern, Pennsylvania, with in-office work Tuesday through Thursday. Vanguard is not offering visa sponsorship for this position.

Requirements

At least 8 years of experience in data engineering, programming, database development or administration, data management, or related data-focused disciplines.
Undergraduate degree or an equivalent combination of education, training, and relevant experience.
Experience developing and optimizing ETL processes, data pipelines, and solutions that integrate data from multiple sources.
Experience using SQL for querying, transformation, troubleshooting, and data-quality analysis.
Experience using Python or other programming languages to develop data solutions and automate workflows.
Experience developing reports, dashboards, or data visualizations using Power BI or similar platforms.
Experience translating business requirements into technical solutions and communicating with technical and non-technical stakeholders.

Nice To Haves

Experience with cloud-based data platforms or large-scale data-processing environments.
Experience supporting Financial Crimes, SEC regulatory reporting, regulatory compliance, or financial services data.

Responsibilities

Design, develop, and optimize ETL processes, data pipelines, database solutions, and cloud-based data infrastructure.
Integrate large and complex datasets from multiple sources and troubleshoot data and software issues to maintain data consistency, quality, availability, and integrity.
Translate business and regulatory requirements into technical designs and develop maintainable, reusable code, queries, and data solutions.
Build AWS cloud supporting services and technologies, including Glue, Redshift, Step Functions, IAM, CloudWatch, CloudFormation, Lambda, Secrets Manager, and SageMaker.
Build Spark data-processing applications.
Build and automate dashboards, reports, and data visualizations using Power BI or similar platforms.
Automate recurring data analysis and reporting workflows using Python, SQL, and other programming tools.
Partner with business, compliance, analytics, and technology teams to understand data needs, develop solutions, and communicate technical considerations.
Collaborate with leadership and business partners to communicate data and analytical findings to technical and non-technical audiences.
Assess data quality, test solutions for their intended purpose, and support production implementation using established engineering and release practices.
Serve as a subject matter expert in data engineering and analytics, mentor less-experienced data professionals, and contribute to engineering standards and reusable practices.
Participate in special projects and perform other duties as assigned.