Senior Manager of Data Engineering

GEICO • Palo Alto, CA

1d • $150,000 - $300,000

About The Position

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 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’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO Technology Solutions, we are on a journey to revolutionize the Insurtech space with our technology offerings in the Insurance market and provide excellent service with better efficiency to our Customers and Associates. To achieve our vision and mission, we are focusing on transforming our existing tech to deliver products and capabilities that are marketplace ready and are agnostic of the Line of Business or the Channel utilized. We’re seeking a Senior Manager of Data Engineering to lead the evolution of our Claims Data Platform. This is a high-impact leadership role where you’ll manage our current database operations while architecting and building the next generation of data infrastructure. You’ll work at the intersection of technology and business, partnering with development teams, claims operations, and analytics to ensure claims data flows seamlessly across the enterprise. This position sits within the Claims organization, embedded directly in the business unit that owns a significant dataset in the enterprise. You'll operate with the full context of claims operations, regulatory requirements, and business priorities, not as a centralized service, but as an integral part of how Claims technology delivers value. Your mission: Transform how our organization consumes and publishes claims data - from legacy to a modern, event driven scalable data platform with self-service APIs and robust data pipelines.

Requirements

• Experience: 10+ years of progressive experience in data engineering, database administration, or data platform development
• 4+ years of people management experience leading technical teams (5+ direct reports)
• Proven track record of building and scaling data pipelines in production environments
• Experience managing enterprise database platforms (Oracle, PostgreSQL, or equivalent)
• Databases: Deep expertise in relational databases (Oracle, PostgreSQL, MSSQL); familiarity with NoSQL (MongoDB, Cassandra)
• Streaming: Working knowledge of Kafka, Kinesis, or Pulsar for real-time data streaming
• Cloud Platforms: Strong experience with Azure or AWS, data services
• Data Warehousing: Hands-on experience with Snowflake, BigQuery, Redshift, or Databricks
• Data Pipelines: Proficiency with Apache Airflow, dbt, or similar orchestration tools
• Programming: Solid coding skills in Python, SQL; familiarity with Spark/PySpark
• APIs: Experience designing and building RESTful APIs and data services
• Bachelor’s degree in computer science, Information Technology, or related field

Nice To Haves

• Insurance/Claims Domain: Experience with Guidewire, Duck Creek, or similar claims management systems
• Data Governance: Familiarity with data cataloging, lineage, and master data management tools
• DevOps: Infrastructure-as-code (Terraform, CloudFormation), CI/CD pipelines
• Compliance: Understanding of insurance regulatory requirements (state regulations, audit compliance)
• Master’s degree preferred

Responsibilities

• Build Data Interfaces & Pipelines
• Design and deliver APIs and data services that enable partner teams to
• Build and maintain scalable data pipelines using modern orchestration tools
• Implement data quality frameworks, monitoring, and alerting
• Create self-service data products that reduce time-to-insight for business users
• Drive Strategic Initiatives
• Collaborate with Architecture, Security, and Compliance teams on data governance
• Champion data engineering best practices: version control, CI/CD, infrastructure-as-code
• Partner with Analytics and Data Science teams to deliver ML-ready datasets
• Report to leadership on platform health, roadmap progress, and strategic opportunities

Benefits

• Great Company
• Great Careers
• Great Culture
• Great Rewards
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior