GEICO
Join GEICO as a
Senior Engineer - Data Analytics . The base pay range for this position is $95,000.00/yr - $230,000.00/yr. Position Summary
GEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. The ideal candidate will help drive the insurance business transformation and develop state-of-the-art data pipelines, models, and reports. Position 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 services such as Docker and Kubernetes, and various Azure tools and services. Produce high-quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions. Shape product definitions and drive towards optimal solutions using technical expertise. Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization. Engage in cross-functional collaboration throughout the entire development lifecycle. Manage data pipelines, ensuring consistent data availability. Mentor other engineers. Consistently share best practices and improve processes within and across teams. Qualifications
Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes). Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics. Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred). Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus. Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines. Experience architecting and designing new ETL and BI systems. Experience with supporting existing ETL and BI systems. Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions. Ability to balance the competing needs of multiple priorities and excel in a dynamic environment. Advanced understanding of DevOps concepts including Azure DevOps framework and tools. Knowledge of developer tooling across the data development life cycle. Understanding of microservices-oriented architecture and REST APIs and GraphQL. Advanced understanding of data quality monitoring and automated testing. Strong problem-solving ability. Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred. Experience
4+ years of professional data and/or analytics engineering, programming languages, and developing with big data technologies. 3+ years of experience with data architecture and design. 3+ years of experience with AWS, GCP, Azure, or another cloud service. 3+ years of experience with ETL and/or BI tools. 2+ years of experience in Big-data tools like Spark and Databricks. Education
Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics, or equivalent education or work experience. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability, or genetic information, in compliance with applicable federal, state, and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company.
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Senior Engineer - Data Analytics . The base pay range for this position is $95,000.00/yr - $230,000.00/yr. Position Summary
GEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. The ideal candidate will help drive the insurance business transformation and develop state-of-the-art data pipelines, models, and reports. Position 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 services such as Docker and Kubernetes, and various Azure tools and services. Produce high-quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions. Shape product definitions and drive towards optimal solutions using technical expertise. Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization. Engage in cross-functional collaboration throughout the entire development lifecycle. Manage data pipelines, ensuring consistent data availability. Mentor other engineers. Consistently share best practices and improve processes within and across teams. Qualifications
Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes). Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics. Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred). Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus. Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines. Experience architecting and designing new ETL and BI systems. Experience with supporting existing ETL and BI systems. Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions. Ability to balance the competing needs of multiple priorities and excel in a dynamic environment. Advanced understanding of DevOps concepts including Azure DevOps framework and tools. Knowledge of developer tooling across the data development life cycle. Understanding of microservices-oriented architecture and REST APIs and GraphQL. Advanced understanding of data quality monitoring and automated testing. Strong problem-solving ability. Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred. Experience
4+ years of professional data and/or analytics engineering, programming languages, and developing with big data technologies. 3+ years of experience with data architecture and design. 3+ years of experience with AWS, GCP, Azure, or another cloud service. 3+ years of experience with ETL and/or BI tools. 2+ years of experience in Big-data tools like Spark and Databricks. Education
Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics, or equivalent education or work experience. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability, or genetic information, in compliance with applicable federal, state, and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company.
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