Senior Engineer - Data

Role Description

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.

As a Senior Data Engineer, you will work to build and maintain robust data systems that power a state-of-the-art analytics platform. Our team thrives and succeeds in delivering high-quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data pipeline development and data transformation to data storage and processing optimization.

Qualifications

• Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)
• 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 with business intelligence tools (Power BI or Superset preferred)
• Proven understanding of microservices oriented architecture and REST APIs and GraphQL
• Experience architecting and designing new and current systems
• Advanced understanding of DevOps concepts including Azure DevOps framework and tools
• Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions
• Advanced PowerShell scripting skills
• Advanced understanding of monitoring concepts and tooling
• Advanced understanding of security protocols and products
• In-depth knowledge of CS data structures and algorithms
• Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)
• Strong problem-solving ability
• Ability to excel in a fast-paced environment

Requirements

• 4+ years of professional experience in data engineering, programming languages and developing with big data technologies
• 3+ years of experience with architecture and design
• 3+ years of experience with AWS, GCP, Azure, or another cloud service
• 2+ years of experience in Big-data tools like Spark and Databricks

Education

• Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

Annual Salary

$80,000.00 - $215,000.00

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