Staff Data Engineer - Financial Data Integrity (REMOTE)
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.
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
Requirements
- Bachelor's degree in data science, computer science, economics or related field; advanced degree preferred
- 8+ years of experience in data engineering
- Minimum 4 years' experience with Snowflake, SQL or similar
- Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities is required
- Ability to design, implement, and promote advanced solution patterns and standards for solving complex challenges
- 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
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
- 401K savings plan vested from day one that offers a 6% match
- Performance and recognition-based incentives
- Tuition assistance
- Access to additional benefits like mental healthcare as well as fertility and adoption assistance
- Supports flexibility with the 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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