Staff Engineer - Financial Data Substantiation Platform (Hybrid)

GEICOFrisco, MD
7d$110,000 - $230,000Hybrid

About The Position

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we are not just an insurance company; we are a technology-driven organization that is transforming the insurance landscape. Our mission is to leverage cutting-edge technology to deliver exceptional experiences for our customers and create innovative solutions that redefine the industry. About The Team Our 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. What you will do 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 .

Requirements

  • 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, NoSQL, 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, ensure data security, and integrate 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

Responsibilities

  • 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

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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