Data Engineer, Mobility - Remote - Leading the Transformation of Insurance Industry with Cutting-Edge Data Solutions
Join the Future of Insurance: Become a Data Engineer, Mobility at GEICO
Imagine being part of a revolutionary journey that transforms the insurance industry with cutting-edge technology and innovative data solutions. At GEICO, we're on a mission to drive engineering excellence and create a culture of psychological safety and continuous improvement. As a Data Engineer, Mobility, you'll play a crucial role in shaping the future of insurance, working with a talented team to design, build, and maintain high-performance, low-maintenance, zero-downtime platforms and applications.
About GEICO and Our Culture
GEICO is a leading insurance provider with a rich history of innovation and customer satisfaction. Our company culture is built on the principles of respect, integrity, and teamwork. We strive to create an environment where our associates can thrive, grow, and make a meaningful impact. As a remote employee, you'll be part of a global team that values flexibility, work-life balance, and collaboration.
Role Snapshot:
Location: Remote
Position: Data Engineer, Mobility
Compensation: A competitive salary ranging from $75,000 to $160,000 per year
Start Date: Immediate openings available
Company: GEICO
Position Summary
We're seeking an experienced Data Engineer with a passion for building scalable, resilient distributed systems for data ingestion, processing, and analysis. As a Data Ops Engineer II, Mobility, you'll work closely with cross-functional teams to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. You'll have the opportunity to work with a wide range of technologies, including Python, C#, SQL, NoSQL databases, Container Orchestration services, and Azure tools and services.
Key Responsibilities:
Scope, design, and build scalable, resilient distributed systems for data ingestion, processing, and analysis
Create dashboards that display next-level metrics for consumption
Design and implement data quality solutions, data lineage solutions, and data products
Engage in cross-functional collaboration throughout the entire software lifecycle
Utilize programming languages like Python, C#, SQL, and NoSQL databases, Container Orchestration services, and Azure tools and services
Consistently share best practices and improve processes within and across teams
Assume ownership of existing business processes and services, and drive enhancements and continuous improvement
Work with senior engineers to define technical architecture and support the implementation of new hardware standards/services
Support projects migrating from existing platforms to new platforms
Analyze and estimate skills, and drive proof of concepts to test new technologies
Assure 24x7 operations and stability of services with high regard for end-user experience
Provide knowledge share, mentoring, and systems training to junior team members as needed
Essential Qualifications:
Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience
2+ years of non-internship professional software development experience in Big Data
2+ years of experience with architecture and design
2+ years of experience with AWS, GCP, Azure, or another cloud service
2+ years of experience in open-source frameworks
Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
In-depth knowledge of CS data structures and algorithms
Understanding of existing Operational Portals such as Azure Portal
Understanding of HTML-5, JavaScript/TypeScript, XML, and JSON
Preferred Qualifications:
Experience with GIT and the overall GIT lifestyle
Experience with GraphDB
Experience with Big Data and the tooling on our Big Data Platform (Hadoop, Hive, Kafka)
Experience with Load test tooling (Gatling)
Experience with troubleshooting tools such as Dynatrace, Thousand Eyes, Influx, Spark GUI, Yarn Logs, ETL Metrics, and Grafana
Experience with Containerization using Docker and Kubernetes
Understanding of Java programming fundamentals
Understanding of Spring Boot Framework
Web Service APIs with technologies such as Rest and GraphQL
Experience with SQL Queries
Experience with CI/CD tooling (Jenkins, Gradle, Artifactory, etc.)
Experience with Spark and Scala with a beginning understanding of DSaT MDF
Experience with Enterprise Reporting Tool (Qlik or MicroStrategy)
Career Growth Opportunities and Learning Benefits:
At GEICO, we're committed to helping our associates grow and develop their skills. As a Data Engineer, Mobility, you'll have access to:
Comprehensive training and development programs
Mentorship and coaching from experienced professionals
Opportunities for career advancement and growth
Flexible work arrangements, including remote work options
A competitive salary and benefits package
Work Environment and Company Culture:
Our company culture is built on the principles of respect, integrity, and teamwork. We strive to create an environment where our associates can thrive, grow, and make a meaningful impact. As a remote employee, you'll be part of a global team that values flexibility, work-life balance, and collaboration.
Compensation, Perks, and Benefits:
We offer a comprehensive compensation package, including:
A competitive salary ranging from $75,000 to $160,000 per year
Premier medical, dental, and vision insurance with no waiting period
Paid vacation, sick, and parental leave
401(k) plan
Paid training and licensures
How to Apply:
If you're passionate about building cutting-edge data solutions and transforming the insurance industry, we want to hear from you! Please submit your application today, and join our team of talented professionals who are shaping the future of insurance.
Apply Now
Apply Now
Imagine being part of a revolutionary journey that transforms the insurance industry with cutting-edge technology and innovative data solutions. At GEICO, we're on a mission to drive engineering excellence and create a culture of psychological safety and continuous improvement. As a Data Engineer, Mobility, you'll play a crucial role in shaping the future of insurance, working with a talented team to design, build, and maintain high-performance, low-maintenance, zero-downtime platforms and applications.
About GEICO and Our Culture
GEICO is a leading insurance provider with a rich history of innovation and customer satisfaction. Our company culture is built on the principles of respect, integrity, and teamwork. We strive to create an environment where our associates can thrive, grow, and make a meaningful impact. As a remote employee, you'll be part of a global team that values flexibility, work-life balance, and collaboration.
Role Snapshot:
Location: Remote
Position: Data Engineer, Mobility
Compensation: A competitive salary ranging from $75,000 to $160,000 per year
Start Date: Immediate openings available
Company: GEICO
Position Summary
We're seeking an experienced Data Engineer with a passion for building scalable, resilient distributed systems for data ingestion, processing, and analysis. As a Data Ops Engineer II, Mobility, you'll work closely with cross-functional teams to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. You'll have the opportunity to work with a wide range of technologies, including Python, C#, SQL, NoSQL databases, Container Orchestration services, and Azure tools and services.
Key Responsibilities:
Scope, design, and build scalable, resilient distributed systems for data ingestion, processing, and analysis
Create dashboards that display next-level metrics for consumption
Design and implement data quality solutions, data lineage solutions, and data products
Engage in cross-functional collaboration throughout the entire software lifecycle
Utilize programming languages like Python, C#, SQL, and NoSQL databases, Container Orchestration services, and Azure tools and services
Consistently share best practices and improve processes within and across teams
Assume ownership of existing business processes and services, and drive enhancements and continuous improvement
Work with senior engineers to define technical architecture and support the implementation of new hardware standards/services
Support projects migrating from existing platforms to new platforms
Analyze and estimate skills, and drive proof of concepts to test new technologies
Assure 24x7 operations and stability of services with high regard for end-user experience
Provide knowledge share, mentoring, and systems training to junior team members as needed
Essential Qualifications:
Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience
2+ years of non-internship professional software development experience in Big Data
2+ years of experience with architecture and design
2+ years of experience with AWS, GCP, Azure, or another cloud service
2+ years of experience in open-source frameworks
Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
In-depth knowledge of CS data structures and algorithms
Understanding of existing Operational Portals such as Azure Portal
Understanding of HTML-5, JavaScript/TypeScript, XML, and JSON
Preferred Qualifications:
Experience with GIT and the overall GIT lifestyle
Experience with GraphDB
Experience with Big Data and the tooling on our Big Data Platform (Hadoop, Hive, Kafka)
Experience with Load test tooling (Gatling)
Experience with troubleshooting tools such as Dynatrace, Thousand Eyes, Influx, Spark GUI, Yarn Logs, ETL Metrics, and Grafana
Experience with Containerization using Docker and Kubernetes
Understanding of Java programming fundamentals
Understanding of Spring Boot Framework
Web Service APIs with technologies such as Rest and GraphQL
Experience with SQL Queries
Experience with CI/CD tooling (Jenkins, Gradle, Artifactory, etc.)
Experience with Spark and Scala with a beginning understanding of DSaT MDF
Experience with Enterprise Reporting Tool (Qlik or MicroStrategy)
Career Growth Opportunities and Learning Benefits:
At GEICO, we're committed to helping our associates grow and develop their skills. As a Data Engineer, Mobility, you'll have access to:
Comprehensive training and development programs
Mentorship and coaching from experienced professionals
Opportunities for career advancement and growth
Flexible work arrangements, including remote work options
A competitive salary and benefits package
Work Environment and Company Culture:
Our company culture is built on the principles of respect, integrity, and teamwork. We strive to create an environment where our associates can thrive, grow, and make a meaningful impact. As a remote employee, you'll be part of a global team that values flexibility, work-life balance, and collaboration.
Compensation, Perks, and Benefits:
We offer a comprehensive compensation package, including:
A competitive salary ranging from $75,000 to $160,000 per year
Premier medical, dental, and vision insurance with no waiting period
Paid vacation, sick, and parental leave
401(k) plan
Paid training and licensures
How to Apply:
If you're passionate about building cutting-edge data solutions and transforming the insurance industry, we want to hear from you! Please submit your application today, and join our team of talented professionals who are shaping the future of insurance.
Apply Now
Apply Now