Senior Data Engineer - Financial Substantiation Platform Hybrid

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. 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 Senior Data Engineer within our Financial Data Integrity Substantiation Platform, you will play an important role in building and managing our critical data reconciliation systems. Your technical expertise will contribute to ensuring the accuracy, reliability, and scalability of our financial data infrastructure. Here's what you can expect to do:

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
• Follow and help improve best practices for code quality, testing, and deployment
• 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

Requirements

• Bachelor’s degree in data science, computer science, economics or related field
• 5+ years of experience in Data and/or Software engineering
• 5+ years of experience in one or more relevant backend programming languages, such as Java and/or Go
• 2+ years of experience building products in modern architecture (SOA & microservices) and extensible REST APIs
• 3+ years of experience with tools like Git, Docker, Kubernetes, and CI/CD pipelines
• 3+ years of experience with cloud platforms like AWS, Azure, or Google Cloud
• Experience 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 with data modeling, ETL processes and query languages (Python, PySpark, and SQL) with data warehouse
• Experience with Agile development practices

Benefits

• 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.

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