Senior Data Engineer - Substantiation Platform Team *Hybrid*

Position Overview

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Join the Financial Data Integrity Team, the heart of ensuring trust and accuracy in our company’s financial ecosystem. As a Senior Data Engineer for the Substantiation Platform, you will build and manage critical data reconciliation systems that safeguard the accuracy, reliability, and scalability of our financial infrastructure.

Key Responsibilities

• Contribute to the design and implementation of high-performance, scalable reconciliation systems capable of processing billions of transactions daily.
• Participate in technical decisions that balance immediate business needs with long-term scalability and maintainability.
• Work with cross-functional teams to integrate the platform with various financial systems, ERPs, and data warehouses.
• Develop core components of the substantiation platform by 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 deliver impactful features.
• Explain technical concepts to both technical and non-technical stakeholders.

Required Qualifications

• Bachelor's degree in data science, computer science, economics or a related field.
• 5+ years of experience in data and/or software engineering.
• 5+ years of experience in one or more backend programming languages, such as Java and/or Go.
• 2+ years of experience building products using 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 such as 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 through scripting, API integration, and SQL querying.
• Experience with data modeling, ETL processes, and query languages (Python, PySpark, and SQL) for data warehousing.
• Familiarity with Agile development practices.

Benefits & Perks

• Annual Salary: $100,000.00 - $215,000.00 (Final offer depends on experience, education, work location, and market factors.)
• Great Rewards: Enjoy a comprehensive Total Rewards program including market-competitive compensation, performance incentives, and recognition-based rewards.
• Benefit from a 401K savings plan vested from day one with a 6% match, tuition assistance, and additional financial perks.
• Access benefits such as mental healthcare, fertility, and adoption assistance.
• Experience workplace flexibility with the GEICO Flex program, offering the ability to work from anywhere in the US for up to four weeks per year.