GEICO
Sr Data Analytics and Vertical Engineering - Claims Domain Engineer
GEICO, Chevy Chase, Maryland, United States, 20815
Overview
Sr Data Analytics and Vertical Engineering - Claims Domain Engineer Get AI-powered advice on this job and more exclusive features. This range is provided by GEICO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Compensation
Base pay range: $80,000.00/yr - $215,000.00/yr Position Summary
GEICO is seeking an experienced Senior Data Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will play a key role in leveraging modern technologies to enhance our data capabilities, while championing innovation, best practices, and continuous learning. Position Description
As a Senior Data Engineer, you will build and maintain robust data systems that power a state-of-the-art analytics platform. Our team delivers high-quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, from data pipeline development and data transformation to data storage and processing optimization. Responsibilities
Scope, design, and build scalable, resilient distributed systems Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration (Docker and Kubernetes), and various Azure tools and services Shape product definitions and drive toward optimal solutions Engage in cross-functional collaboration throughout the entire development lifecycle Lead design sessions and code reviews to elevate engineering quality Define, create, and support reusable data components and patterns Build a world-class analytics platform to satisfy reporting needs Mentor other engineers Share best practices and improve processes across teams Qualifications
Advanced programming experience with Python, SQL, dbt, Spark, Kafka, Git; containerization (Docker and Kubernetes) Experience with Apache Iceberg for large-scale tabular data in data lakes (plus) Experience with orchestration tools like Apache Airflow Experience with BI tools (Power BI or Superset preferred) Understanding of microservices architecture, REST APIs, and GraphQL Experience architecting and designing new and current systems Advanced knowledge of DevOps concepts and Azure DevOps Experience with CI/CD for data solutions PowerShell scripting skills Knowledge of monitoring concepts and tooling Security protocol knowledge Strong CS data structures and algorithms Experience with data development lifecycle tooling Strong problem-solving ability and ability to work in a fast-paced environment Experience
4+ years of professional experience in data engineering, programming languages and big data technologies 3+ years in architecture and design 3+ years in AWS, GCP, Azure, or another cloud service 2+ years with big-data tools like Spark and Databricks Education
Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience Employment Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Insurance The GEICO Pledge and additional benefits described are part of GEICO’s culture and rewards program. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
#J-18808-Ljbffr
Sr Data Analytics and Vertical Engineering - Claims Domain Engineer Get AI-powered advice on this job and more exclusive features. This range is provided by GEICO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Compensation
Base pay range: $80,000.00/yr - $215,000.00/yr Position Summary
GEICO is seeking an experienced Senior Data Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will play a key role in leveraging modern technologies to enhance our data capabilities, while championing innovation, best practices, and continuous learning. Position Description
As a Senior Data Engineer, you will build and maintain robust data systems that power a state-of-the-art analytics platform. Our team delivers high-quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, from data pipeline development and data transformation to data storage and processing optimization. Responsibilities
Scope, design, and build scalable, resilient distributed systems Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration (Docker and Kubernetes), and various Azure tools and services Shape product definitions and drive toward optimal solutions Engage in cross-functional collaboration throughout the entire development lifecycle Lead design sessions and code reviews to elevate engineering quality Define, create, and support reusable data components and patterns Build a world-class analytics platform to satisfy reporting needs Mentor other engineers Share best practices and improve processes across teams Qualifications
Advanced programming experience with Python, SQL, dbt, Spark, Kafka, Git; containerization (Docker and Kubernetes) Experience with Apache Iceberg for large-scale tabular data in data lakes (plus) Experience with orchestration tools like Apache Airflow Experience with BI tools (Power BI or Superset preferred) Understanding of microservices architecture, REST APIs, and GraphQL Experience architecting and designing new and current systems Advanced knowledge of DevOps concepts and Azure DevOps Experience with CI/CD for data solutions PowerShell scripting skills Knowledge of monitoring concepts and tooling Security protocol knowledge Strong CS data structures and algorithms Experience with data development lifecycle tooling Strong problem-solving ability and ability to work in a fast-paced environment Experience
4+ years of professional experience in data engineering, programming languages and big data technologies 3+ years in architecture and design 3+ years in AWS, GCP, Azure, or another cloud service 2+ years with big-data tools like Spark and Databricks Education
Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience Employment Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Insurance The GEICO Pledge and additional benefits described are part of GEICO’s culture and rewards program. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
#J-18808-Ljbffr