Senior Manager of Data Engineering

GEICO

Remote

Quick summary

Work type
Remote
Location
Palo Alto, CA
Salary
$150,000–$300,000 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $225k
$128k most similar roles pay here $318k

This role pays more than 76% of similar roles. Most pay $147,325–$223,750 — the shaded band above. At the midpoint, this role pays about $225k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About GEICO

GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance

GEICO currently has 131 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 131 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Senior Manager of Data Engineering

GEICO Technology Solutions is seeking a Senior Manager of Data Engineering to lead the evolution of its Claims Data Platform within the Claims organization. This role involves managing current database operations while architecting and building next-generation data infrastructure that ensures seamless claims data flow across the enterprise. You will collaborate with development teams, claims operations, and analytics to implement modern data pipelines using tools like Apache Airflow and dbt, design self-service APIs, and champion best practices such as version control and CI/CD. With deep expertise in relational databases and experience managing enterprise platforms on Azure or AWS, you will drive strategic initiatives by partnering with security and compliance teams to ensure robust data governance and regulatory adherence.

What you'll do

  • Design and deliver APIs and data services for partner teams.
  • Build and maintain scalable data pipelines using modern orchestration tools.
  • Implement data quality frameworks with monitoring and alerting systems.
  • Champion data engineering best practices including version control and CI/CD.
  • Partner with Analytics and Data Science teams to provide ML-ready datasets.
  • Report on platform health, roadmap progress, and strategic opportunities.

What we're looking for

  • 10+ years of experience in data engineering and database administration.
  • 4+ years of leadership experience managing technical teams with direct reports.
  • Proven ability to build and scale data pipelines in production environments.
  • Expertise in relational databases (Oracle, PostgreSQL) and familiarity with NoSQL databases.
  • Strong experience with cloud platforms like Azure or AWS for data services.
  • Hands-on experience with data warehousing tools such as Snowflake or BigQuery.
  • Proficiency in programming languages including Python, SQL, and Spark/PySpark.

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