Data Engineer, Specialist
3d Design Tools
Amazon Iam
Amazon Web Services
Application Security
AWS
Aws Cloudwatch
Aws Data Warehouse
Aws Glue
Aws Serverless
Big Data
Bigdata
Cloud
Cloud Architecture
Cloud Computing
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Infrastructure
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Technology
CloudFormation
Data
Data Analysis
Data Analytics
Data Engineer
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
DevOps
DevSecOps
ETL
Informatica
Information Technology (IT)
IT Services
Rendering Engines
Secrets Manager
Security Automation
Security Devops
Software Development
Spark
SQL
Job Description
Vanguard is hiring a Data Engineer, Specialist to design and optimize ETL processes, data pipelines, and cloud-based data infrastructure that support reporting and analytics.
Responsibilities
- Design, develop, and optimize ETL processes, data pipelines, database solutions, and cloud-based data infrastructure for scalable and reliable data processing.
- Integrate large and complex datasets from multiple sources and troubleshoot data or software issues to ensure consistency, quality, availability, and integrity.
- Translate business and regulatory requirements into technical designs.
- Develop maintainable and reusable code, queries, and data solutions.
- Build and support AWS cloud capabilities, including AWS services such as Glue, Redshift, Step Functions, and Amazon Q Foundational Services like IAM, CloudWatch, CloudFormation, Lambda, Secrets Manager, and SageMaker.
- Develop Apache Spark data processing applications.
- Create and automate dashboards, reports, and data visualizations using Power BI (or similar platforms) to support business partners.
- Automate recurring data analysis and reporting workflows using Python, SQL, and other programming tools to improve efficiency and reduce manual effort.
- Partner with business, compliance, analytics, and technology teams to understand data needs, deliver solutions, and explain technical considerations.
- Collaborate with leadership and business partners to communicate data and analytical findings to both technical and non-technical audiences.
- Assess data quality, test solutions for intended use, and support implementation into production using established engineering and release practices.
- Act as a subject matter expert in data engineering and analytics, mentor less-experienced professionals, and help define engineering standards and reusable practices.
- Participate in special projects and complete other duties as assigned.
Requirements
- 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.
- SQL experience for querying, transforming, troubleshooting, and data-quality analysis.
- Python (or other programming languages) experience for building data solutions and automating workflows.
- Experience building reports, dashboards, or data visualizations using Power BI or similar tools.
- 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).
Key Technologies
- AWS, Glue, Redshift, Step Functions, Amazon Q Foundational Services, IAM, CloudWatch, CloudFormation, Lambda, Secrets Manager, SageMaker
- Spark, Power BI, Python, SQL
Additional Information
- Role supports data and reporting capabilities related to Financial Crimes and regulatory compliance.
- Visa sponsorship: Vanguard is not offering visa sponsorship for this position.
Location
- Malvern, PA (hybrid)