Senior Manager of Data Engineering
About The Position
GEICO Technology Solutions is on a journey to revolutionize the Insurtech space with its technology offerings in the Insurance market and provide excellent service with better efficiency to its Customers and Associates. To achieve its vision and mission, the company is focusing on transforming its existing tech to deliver products and capabilities that are marketplace ready and are agnostic of the Line of Business or the Channel utilized. GEICO is seeking a Senior Manager of Data Engineering to lead the evolution of its Claims Data Platform. This is a high-impact leadership role where the individual will manage current database operations while architecting and building the next generation of data infrastructure. The role operates 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. The individual will 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. The mission is to transform how the 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
- 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)
- Deep expertise in relational databases (Oracle, PostgreSQL, MSSQL); familiarity with NoSQL (MongoDB, Cassandra)
- Working knowledge of Kafka, Kinesis, or Pulsar for real-time data streaming
- Strong experience with Azure or AWS, data services
- Hands-on experience with Snowflake, BigQuery, Redshift, or Databricks
- Proficiency with Apache Airflow, dbt, or similar orchestration tools
- Solid coding skills in Python, SQL; familiarity with Spark/PySpark
- Experience designing and building RESTful APIs and data services
- Bachelor’s degree in computer science, Information Technology, or related field
Nice To Haves
- Experience with Guidewire, Duck Creek, or similar claims management systems
- Familiarity with data cataloging, lineage, and master data management tools
- Infrastructure-as-code (Terraform, CloudFormation), CI/CD pipelines
- 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
- Competitive pay
- Benefits
- Flexibility to support your well-being and future
- Personalized development programs
- Mentorship
- Certification assistance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
