Staff Engineer - Data

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality
200 coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That भोज् us offer The GEICO Pledge:
Great Company, Great Culture, Great Rewards and Great Careers.

GEICO is seeking an experienced Staff Engineer with a_records 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 develop state‑of‑the‑art data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning.

• Lead technical execution at the team level, overseeing data modeling architecture and design to ensure schemas are aligned with Business, AI, and Product analytical requirements.
• Scope, design, and build scalable, resilient distributed systems.
• Develop data pipelines and transform data.
• Leverage your passion for data exploration to produce high quality reports with tools such as Power BI, Apache Superset, and React, empowering outstanding business decisions.
• Apply your technical expertise to shape product definitions and drive towards optimal solutions.
• Lead design sessions and code reviews with peers to elevate the quality of engineering across the organization.
• Spearhead new feature use and innovate within existing tooling.
• Engინო 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.

• Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Trino, Git, Containerization (Docker and Kubernetes)
• Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics
• Experience with Apache Iceberg for managing large‑scale tabular data in data lakes
• Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred)
• 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
• 8+ years of professional data and/or analytics engineering, programming languages and developing with big data technologies
• 5+ years of experience with data architecture and design
• 5+ years of experience with AWS, GCP, Azure, or another cloud service
• 4+ years of experience with ETL and/or BI tools
• 4+ years of experience in open‑source frameworks
• 3+ 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
Annual Salary

$ - $

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

The GEICO Pledge Great Company

At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need us most and we’re constantly evolving to…