Senior Staff Engineer - Payments Platform (Remote)
GEICOAbout the role
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 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.
Summary:
As a Sr. Staff Engineer, you’ll lead the strategy and execution of a technical roadmap for modernization of our Payments Platform, with a strong focus on data architecture. You will design how payment data is stored, collected, and structured to power critical use cases such as fraud, business analytics, machine learning and financial reporting. You will work across the team to build scalable, resilient, and modern data systems while mentoring engineers and establishing high standard for technical decision making and team performance.
Responsibilities:
Architect and implement secure, resilient, and compliant data systems for our payment platform across legacy (MS SQL) and modern (Postgres, Cassandra) systems.
Develop and execute a strategy for real-time and batch data processing, ensuring data is correct, complete and timely for downstream use cases.
Lead the development of data-driven solutions, including integrating complex data systems, and implementing analytics capabilities to derive insights from large datasets.
Partner closely with data engineers, analysts and scientists to define and implement data models and pipelines, that support critical business use cases.
Provide mentorship and foster a culture of learning and engineering excellence.
Set high standards for code, design documentation, and technical decision-making.
Establish practices for a high-performing engineering organization.
Stay ahead of industry trends and recommend new technologies.
Resolve service disruptions and implement prevention/self-healing mechanisms.
Influence and educate stakeholders at all levels.
Qualifications:
Proven track record of designing and implementing data platforms for payments, financial or highly regulated systems
Ability to connect technical data solutions to business needs, ensuring data is actionable for business use cases
Deep understanding of modern data architecture patterns, including event-driven architecture, steam processing (e.g. kafka) and real-time data processing.
Strong problem-solving skills and the ability to architect com
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