Data Engineer, Specialist

The Vanguard Group; Malvern (Chester County); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Vanguard is seeking a senior data engineer in Malvern, PA, with 8+ years in data engineering to design and optimize ETL processes and data pipelines. You will work in a hybrid environment, collaborating across compliance, analytics, and technology teams to deliver scalable data solutions.

You will build and optimize AWS-based data infrastructure (Glue, Redshift, Step Functions, Lambda, Sagemaker) and develop Spark applications, dashboards, and automated reporting using Power BI and Python.

Qualifications

• 8+ years in data engineering or related data-focused disciplines.
• Undergraduate degree or equivalent.
• Experience developing and optimizing ETL processes and data pipelines from multiple sources.
• Experience using SQL for data querying and data-quality analysis.
• Experience using Python to develop data solutions and automate workflows.
• Experience developing reports or dashboards using Power BI or similar platforms.
• Experience translating business requirements into technical solutions and communicating with stakeholders.
• Experience with cloud-based data platforms or large-scale data-processing environments, preferred.
• Experience supporting financial crimes or regulatory reporting, preferred.

Responsibilities

• Designs, develops, and optimizes ETL processes, data pipelines, and cloud-based data infrastructure.
• Integrates large datasets from multiple sources and ensures data quality and availability.
• Translates requirements into technical designs and reusable code and data solutions.
• Builds AWS cloud services and data processing apps (Glue, Redshift, Spark, etc.).
• Builds Spark data processing applications and automates dashboards and reports.
• Automates data analysis and reporting workflows using Python, SQL, and other tools.
• Collaborates with business, compliance, analytics, and tech teams to understand data needs.
• Communicates findings to technical and non-technical audiences.
• Mentors less-experienced data professionals and contributes to engineering standards.
• Supports production deployment following governance and release practices.

Skills

ETL design

Data pipelines

SQL

Python

Power BI

AWS

Spark

Communication

Mentoring

Regulatory data

Education

Bachelor's degree or equivalent

Tools

AWS Glue

Redshift

Step Functions

IAM

CloudWatch

CloudFormation

Lambda

Secrets Manager

Sagemaker

Job description

Hybrid Role (in office Tues-Wed-Thurs) is based in Malvern, PA (HQ)

Responsibilities

• Designs, develops, and optimizes ETL processes, data pipelines, database solutions, and cloud-based data infrastructure to support scalable, reliable data processing and analytical needs.
• Integrates large and complex datasets from multiple sources and troubleshoots data and software issues to maintain data consistency, quality, availability, and integrity.
• Translates business and regulatory requirements into technical designs and develops maintainable, reusable code, queries, and data solutions.
• Expert building AWS cloud supporting services and technologies (Eg: Glue, Redshift, Step Functions, Amazon Q Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker).
• Expert in building Spark data processing applications.
• Builds and automates dashboards, reports, and data visualizations using Power BI or similar platforms to make data and insights accessible to business partners.
• Automates recurring data analysis and reporting workflows using Python, SQL, and other programming tools to improve efficiency, reliability, and reduce manual effort.
• Partners with business, compliance, analytics, and technology teams to understand data needs, develop solutions, and communicate technical considerations.
• Collaborates with leadership and business partners to translate data and analytical findings into clear insights for technical and non-technical audiences.
• Assesses data quality, tests solutions for their intended purpose, and supports implementation into production using established engineering and release practices.
• Serves as a subject matter expert across data engineering and analytics, mentoring less-experienced data professionals and contributing to engineering standards and reusable practices.
• Participates in special projects and performs other duties as assigned.

Education & Experience

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

Special Factors

• Supports data and reporting capabilities associated with Financial Crimes and regulatory compliance.

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.

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.