Senior Billing Data Engineer

GEICO .
For more information, please .Senior Billing Data Engineer page is loaded## Senior Billing Data Engineer locations:
Palo Alto, CA:
Richardson, TX:
Chevy Chase, MDtime type:
Full time posted on:
Posted Todayjob requisition :
R0062183
** 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.

What You Will DoWe are seeking a seasoned Data Engineer with extensive experience in designing, building, and maintaining large-scale data platforms and distributed systems. You will become an integral part of a team dedicated to managing GEICO's core billing platform. This platform includes a comprehensive array of components such as a core billing engine, invoicing system, commissions management, collections, payment processing, and financial  this role, you will play a pivotal part in architecting our data infrastructure from the ground up.

You will be responsible for transporting data from our transactional databases to modern data lakehouse storage, transforming it into simplified and accessible billing entities for analytics, and leveraging this data to pioneer the development of intelligent, agentic billing systems.

Responsibilities
* 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.

Who You Are 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.

Minimum Requirements:

* 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…