Full Stack Software Engineer - Financial Data Integrity; Hybrid

About The Team

The Financial Data Integrity Team is at the heart of ensuring trust and accuracy in our organization’s financial ecosystem. We design, implement, and manage the substantiation platform that safeguards the integrity of financial data across global systems, enabling compliance, informed decision‑making, and operational excellence.

As a Staff Software Engineer within our Financial Data Integrity Substantiation Platform, you will play an important role in developing and optimizing our critical data reconciliation systems. Your technical expertise will contribute to ensuring the accuracy, reliability, and scalability of our financial data infrastructure.

• Contribute to the design and implementation of high‑performance, scalable reconciliation systems capable of processing billions of transactions daily
• Participate in making technical decisions that balance immediate business needs with long‑term scalability and maintainability
• Work with cross‑functional teams to integrate our platform with various financial systems, ERPs, and data warehouses
• Develop core components of our substantiation platform, writing high‑quality, efficient code
• Provide technical guidance to other engineers on the team
• Follow and help improve best practices for code quality, testing, and deployment
• Contribute to the professional development of junior engineers through code reviews and knowledge sharing
• Collaborate with Finance, Compliance, and Business Intelligence teams to implement technical solutions for complex business requirements
• Work with Product Management to implement features that deliver maximum impact
• Explain technical concepts to both technical and non‑technical stakeholders

• Bachelor’s degree in data science, computer science, economics or related field; advanced degree preferred
• 8+ years of experience in Software Engineering
• Experience in one or more relevant programming languages, such as C#, Java and/or Python
• Experience with tools like Git, Docker, Kubernetes, and CI/CD pipelines
• Experience with cloud platforms like AWS, Azure, or Google Cloud
• Competence in SQL, No
  
  SQL, relational database design and efficient methods for data retrieval and preparation at scale
• Proven ability to collect and process raw data at scale, including scripting, API integration, and SQL querying
• Experience in writing and optimizing SQL queries, ensuring data security, and integrating Snowflake with third‑party tools
• Experience with data modeling, ETL processes and query languages (Python, PySpark, and SQL)
• Demonstrated success working with cross‑functional teams to integrate new platform with various financial systems, ERPs, and data warehouses
• Good communication skills, with the ability to explain technical concepts to both technical and non‑technical stakeholders
• Experience with Agile development methodologies and CI/CD practices

This is a Hybrid position working out of any of the following offices:
Seattle, WA;
Dallas, TX;
Chevy Chase, MD.

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Great Company, Great Culture, Great Rewards and Great Careers.

• Comprehensive Total Rewards program that offers personalized coverage tailor‑made for you and your family’s overall well‑being.
• Financial benefits including market‑competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition‑based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility – We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and…