Job description

About the 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 • Utilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions • Use your technical expertise to shape product definitions and drive towards optimal solutions • 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 Requirements • 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 (task management, source code, building, deployment, operations, real-time communication) • Understanding of microservices oriented architecture and REST APIs and GraphQL • Advanced understanding of data quality monitoring and automated testing • Strong problem-solving ability • 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 • Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics or equivalent education or work experience Nice-to-haves • Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred Benefits • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being. • Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. • Access to additional benefits like mental healthcare as well as fertility and adoption assistance. • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

Requirements