Financial Analytics Data Engineer

The Financial Analytics Data Engineer at Daiichi Sankyo, Inc. partners with Financial Analytics Product Managers and Data Scientists to convert analytics and product requirements into scalable data and analytics products. The position focuses on data integration, transformation, operationalization, delivery, and ongoing improvement through validation, monitoring, and quality controls.

Location

Basking Ridge, NJ (onsite)

Compensation

USD 127,280 - 190,920 per yearly

Key Responsibilities

• Design, develop, and maintain scalable data pipelines, transformation logic, reusable datasets, and data products for Financial Analytics use cases.
• Translate analytical and product requirements into scalable technical implementations and support the operationalization of analytical assets in productive environments.
• Apply data validation, monitoring, and quality controls to maintain reliable, trusted, and maintainable data foundations.
• Collaborate with Financial Analytics Product Managers, Data Scientists, Global DX, and technical teams to align solutions with enterprise architecture, engineering standards, and delivery requirements.
• Support innovation and continuous improvement by assessing modern data engineering approaches, enhancing scalability and maintainability, and ensuring alignment with data governance and security standards.

Required Qualifications

• Bachelor’s Degree required
• 5+ years of experience in data engineering, analytics engineering, software engineering, data management, or a related field, preferably supporting analytics or AI use cases in the finance domain.
• Experience building and maintaining scalable data pipelines and analytical data solutions.
• Experience working with structured and semi-structured data environments and data transformation concepts.
• Demonstrated ability to deliver in cross-functional environments and collaborate across technical teams.

Preferred Qualifications

• Master’s Degree in data engineering, computer science, software engineering, information systems, data science, mathematics, finance, or a related field.
• Understanding of cloud-based data platforms, data architectures, and modern engineering practice.
• Experience in industries such as pharmaceuticals and chemicals.

Travel Requirements

of the time. Limited

Benefits

• Download Our Benefits Summary PDF
• Salary Range: USD$127,280.00 - USD$190,920.00