Data Engineer, Specialist

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.

• 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.

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