Senior Engineer - Data

GEICO•Bethesda, MD

About The Position

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.

Requirements

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
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

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
Use your technical expertise to shape product definitions and drive towards optimal solutions
Engage in cross-functional collaboration throughout the entire development lifecycle
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization
Define, create, and support reusable data components and patterns that align with both business and technology requirements
Build a world-class analytics platform to satisfy reporting needs
Mentor other engineers
Consistently share best practices and improve processes within and across teams