Staff Software Engineer developing and operating AI - powered services at Snowflake. Shaping system architecture and mentoring engineers to elevate technical quality and collaboration.
About the role
- Staff Engineer developing high-performance data solutions at GEICO. Driving insurance business transformation through innovative data pipelines and advanced engineering practices.
Responsibilities
- 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.
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