Sr. Data Engineer (Python, SAS, SQL)

As a Senior Data Engineer, you will develop and maintain reporting and data solutions that support Fidelity’s Defined Contribution Record Keeping business. This role is focused on building and enhancing reporting capabilities, developing custom reporting solutions, and supporting a multi-year effort to modernize legacy SAS applications using Python.

Approximately 80% of your time will be spent on development activities, with the remaining 20% focused on supporting and enhancing existing reporting solutions.

In this role, you will:

• Design, develop, test, and maintain reporting and data solutions using SAS, SQL, and Python.
• Develop custom reports and data solutions to support business, operational, audit, compliance, fraud detection, and strategic reporting needs.
• Partner with business stakeholders to gather requirements and deliver scalable reporting capabilities.
• Support and enhance self-service reporting tools used across the organization.
• Ensure data accuracy, integrity, and reliability across reporting platforms.
• Troubleshoot reporting and data issues and implement sustainable solutions.
• Contribute to a multi-year initiative to modernize and migrate legacy SAS-based reporting solutions to Python.
• Document technical processes, reporting logic, and data flows while participating in testing and code reviews., The Defined Contributions Record Keeping Support team supports the applications and data processes that power Fidelity’s recordkeeping platform, including the processing of retirement plan contributions and other critical participant transactions. The team is responsible for maintaining system stability, ensuring data integrity, and supporting the reporting solutions relied upon by business partners across the organization.

In addition to supporting operational processes, the team develops and maintains a wide range of reporting solutions supporting audits, fraud detection, compliance activities, business campaigns, and other critical business functions. The team also plays a key role in proactively identifying risks, resolving system and data issues, and improving the overall reliability of the platform.

SQL (Structured Query Language), Software Engineering, Python Programming/Scripting Language, Record Keeping, Python Programming/Scripting Language, Reporting Skills, SQL (Structured Query Language), Test Plan/Schedule, Statistical Analysis System (SAS), Business Operations, * 4-6 years of experience developing reporting, analytics, data engineering, or business intelligence solutions.

• 4+ years of hands-on SAS programming experience, including report development, data analysis, and troubleshooting.
• Strong SQL skills with experience querying, analyzing, and validating large datasets.
• Exposure to Python development and a desire to build expertise in Python-based reporting and automation solutions.
• Experience translating business requirements into technical reporting solutions.
• Strong understanding of data quality, validation, and reporting best practices.
• Experience working with large, complex datasets in an enterprise environment.
• Strong analytical, problem-solving, and communication skills.
• Experience with Excel and/or VBA is a plus.
• Experience supporting reporting modernization or legacy technology migration efforts is a plus.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.