Financial Analytics Data Engineer

Daiichi Sankyo, Inc. offers a salary range of USD 127,280.00 to USD 190,920.00 and an onsite role based in Basking Ridge, NJ. You will partner with Financial Analytics Product Managers and Data Scientists to turn analytics and product needs into scalable data and analytics products, with a focus on reliable data foundations and continuous improvement. A benefits summary PDF is also available for review.

Responsibilities

• Design, develop, and maintain scalable data pipelines, transformation logic, reusable datasets, and data products for Financial Analytics use cases.
• Convert analytical and product requirements into scalable technical implementations and support operationalization of analytical assets in productive environments.
• Implement data validation, monitoring, and quality controls to support trusted, reliable, 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.
• Drive innovation and ongoing improvement by evaluating modern data engineering approaches, improving scalability and maintainability, and ensuring alignment with data governance and security standards.

Requirements

• Bachelor’s Degree required.
• Master’s Degree preferred in areas such as data engineering, computer science, software engineering, information systems, data science, mathematics, finance, or a related field.

Experience Qualifications

• 5+ years of experience in data engineering, analytics engineering, software engineering, data management, or related fields, 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 and applying data transformation concepts.
• Proven ability to collaborate in cross-functional delivery environments across multiple technical teams.
• Understanding of cloud-based data platforms, data architectures, and modern engineering practice preferred.
• Experience in industries such as pharmaceuticals and chemicals preferred.

Travel Requirements

Limited travel is expected, with travel occurring for of the time.