Distinguished Engineer – Finance Data - Remote

It is an exciting time to be at GEICO as we transform the insurance business and build a tech organization with engineering excellence as its mission, with a culture of psychological safety and continuous improvement. We are seeking experienced engineers with a passion for building high-performance, low maintenance, and zero-downtime systems to help us build a Finance Data Lake from the ground up. 

Our Distinguished Engineer works with our engineers and engineering leaders to innovate and build new systems, improve and enhance existing systems as well as identify new opportunities to apply their knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate has deep technical expertise in their domain.

Responsibilities

• Define the engineering direction and roadmap for the new Finance Data Lake that aligns with business goals.
• Lead the development of our new Finance Data Lake meeting goals for security, resilience, compliance and correctness.  
• Provide technical guidance and mentorship to team members, sharing knowledge and best practices to foster a culture of constant learning.
• Hold a high bar on technical decision making, and setting a standard for engineering artifacts that the team creates, such as code and design docs.
• Stay up-to-date with industry trends and emerging technologies, evaluating their potential impact on the payments engineering domain and making recommendations for adoption.
• Triage and resolve service disruptions, and build industry standard mechanism for prevention and self-healing.
• Influence and educate leadership at all levels.

Qualifications

• Deep hands-on experience in full stack system design and implementation of finance systems.
• Proven ability for system architecture and influencing engineering direction and product roadmap.
• Hands-on experience building platforms from ground up using resiliency patterns, observability, continuous delivery and infrastructure as code.
• Advanced experience developing new and enhancing existing data processing (data ingestion, data transformation, data storage, data management, data quality) components
• Understanding of data warehouse concepts including data modeling and OLAP

• Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent)
• Experience with data formats such as Parquet, Avro, ORC, XML, JSON
• Experience working streaming applications (Spark Streaming, Flink, Kafka or equivalent)
• Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool) or Databricks
• Understanding of machine learning
• Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs …