Senior Billing Data Engineer

Overview

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.

The Billing Platform team at GEICO oversees the tools, infrastructure, data, reporting, analytics, and services essential for delivering seamless billing experiences to internal users, end customers, and partners. Our billing platform functions as the backbone for managing financial transactions and customer interactions, enhancing efficiency, accuracy, and customer satisfaction while supporting strategic growth and ensuring compliance.

• Oversee the high-level and low-level designs of one or more data sub-systems of the billing platform we are building.
• Be responsible and accountable for the quality, reliability, accessibility, and performance of our data solutions.
• Lead the design and development of complex data processing systems, ensuring they are scalable, maintainable, and meet high-quality standards.
• Develop robust data pipelines for transporting data from transactional databases to analytical stores, utilizing technologies such as Change Data Capture (CDC), streaming platforms, and workflow orchestration.
• Architect data models and transform raw transactional data into simplified, aggregated billing entities suitable for large-scale analytics and reporting.
• Provide technical leadership and guidelines for building next-generation agentic billing systems that leverage our rich datasets.
• Work closely with various departments, including product management, analytics, and software engineering, to ensure cohesive and successful project delivery.
• Mentor and guide other engineers, fostering a culture of continuous learning and data excellence.

We are looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

• 4+ years of professional, hands-on data engineering experience.
• Strong experience in architecting and designing large-scale, complex data systems.
• Proficient coding skills in languages like Python, Java, or Scala, with a focus on building high-performance, production-quality data applications.
• Experience with a wide range of data technologies, including transactional databases (SQL), data warehousing/lakehouse solutions (e.g., Apache Iceberg), and data processing frameworks (e.g., Apache Flink, Apache Spark).
• Experience with workflow orchestration tools such as Airflow.
• Proficient in using cloud computing tools throughout the software development lifecycle, with deep expertise in Data Ops, observability, and automated testing.
• Skilled in collaborating across engineering teams and other functions to build alignment, drive decision-making, and communicate transparently.

• Experience in the financial technology sector, with a focus on billing, payments, subscription management, and financial reporting.
• Proven track record in designing and implementing systems for real-time data ingestion and processing (e.g., CDC, streaming).
• Experience or interest in applying data to build AI-driven or "agentic" systems to automate and enhance business processes.

Education:

Bachelor's and/or Master's degree, preferably in CS, or equivalent experience.

Annual Salary

$ - $

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as…