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.
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

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
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 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 with front end development using React/JavaScript is a plus
Experience with Contact Center, 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data modelingdata architectureETLBI toolsbig dataPythonSQLSparkDatabricksdata warehousing

Soft skills

leadershipmentoringcross-functional collaborationproblem-solvingprocess improvementcommunicationdynamic environment adaptabilitybest practices sharingdesign session facilitationcode review