Senior Data Engineering Manager

GEICO

Senior Manager of Data Engineering at GEICO leading transformation of Claims Data Platform. Overseeing database operations and architecting new data infrastructure while collaborating across teams.

Posted 6/14/2026full-timePalo Alto • California • 🇺🇸 United StatesSenior💰 $150,000 - $300,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureBigQueryCassandraKafkaMongoDBNoSQLOraclePostgresPulsarPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Lead the evolution of the Claims Data Platform
Manage current database operations while architecting and building the next generation of data infrastructure
Collaborate with development teams, claims operations, and analytics to ensure claims data flows seamlessly across the enterprise
Transform how the organization consumes and publishes claims data
Design and deliver APIs and data services that enable partner teams
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
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

Requirements

What you’ll need

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

Benefits

Comp & perks

Personalized development programs
Mentorship
Certification assistance
Competitive pay
Flexibility to support your well-being and future

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Hard Skills & Tools

data engineeringdatabase administrationdata platform developmentdata pipelinesrelational databasesNoSQLreal-time data streamingRESTful APIsPythonSQL

Soft Skills

people managementcollaborationcommunicationleadershipdata governanceproblem-solvingstrategic thinkingdata engineering best practices