Staff Engineer - Data Movement (REMOTE)

GEICO is seeking a dynamic and visionary individual to join our Exchange Hub Engineering team. The Exchange Hub team is dedicated to facilitating seamless and secure communication and collaboration across all internal and external third parties by collecting, managing and optimizing the exchange of data.

An ideal candidate is intellectually curious, has a solution-oriented mindset, and enjoys learning new tools and techniques. You will have the opportunity to design and deliver the centralized and secure data exchange platform, related SDK, and related tools to collect, manage, and analyze user data from various sources for personalized and data-driven Insurance products and services. You would utilize Metering, Telemetry & Streaming Technologies to enhance risk assessment and customer engagement through real-time data collection, data store and data analysis.

Position Description

Our Staff Engineer is a key member of the engineering staff working the organization to provide a friction-less experience to our customers and maintain the exit highest standards of protection and availability. Our team thrives and succeeds in delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.

Position Responsibilities

As a Staff Engineer, you will:

• Design and implement a data ingestion platform
• Scope, design, and build scalable, resilient distributed systems
• Build product definition and leverage your technical skills to drive towards the right solution
• Engage in cross-functional collaboration throughout the entire software lifecycle
• Be responsible for technical aspects of a project at the team level

• Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
• Spearhead new feature use (innovate within existing tooling)
• Spearhead new software acquisition and use (innovate with new tooling)
• Leverage automation to remove redundant error prone tasks to improve the quality of the solution
• Define, create, and support reusable application components/patterns from a business and technology perspective
• Build the processes required for optimal extraction, transformation, and loading of data
• Work with other teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Perform unit tests and conduct reviews with other team members to make sure code is rigorously designed, elegantly coded, and effectively tuned for performance
• Share your passion for staying on top of tech trends, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community
• Mentor other engineers
• Consistently share best practices and improve processes within and across teams

Qualifications

• Experience developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
• Advanced programming experience and big data experience
• 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 with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects
• 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
• Experience with programming languages like Python, Scala, Spark, Java,
• Experience with container orchestration services including Docker and Kubernetes
• Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs to reduce the execution window or reduce resource utilization
• Experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
• Exposure to messaging such as Kafka, ActiveMQ, RabbitMQ or similar messaging technologies.
• Experience with Agile engineering practices
• Experience with REST, Microservices is a big plus
• Experience with developing systems that are scalable, resilient, and highly available
• Experience with Infrastructure as Code
• Experience with CI/CD deployment and test automation. ADO, Jenkins, Gradle, Artifactory or equivalents
• Experience with containerization (exampl