Engineer II – Data Engineer

GEICO

Remote

Quick summary

Work type
Remote
Location
Palo Alto, CA
Salary
$75,000–$260,000 / yr
Posted
17 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k
This role $168k
$53k most similar roles pay here $282k

This role pays less than 57% of similar roles. Most pay $137,863–$216,656 — the shaded band above. At the midpoint, this role pays about $168k versus about $177k 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 71 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 71 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Engineer II – Data Engineer

GEICO seeks an Engineer II to join its FinTech team, focusing on building and maintaining scalable data pipelines for the Finance Data Warehouse. This role involves designing resilient systems that support analytics and downstream products, leveraging modern developer tools like AI-assisted coding while ensuring code quality through reviews and testing. The ideal candidate will collaborate across functions, participate in design sessions, and define reusable pipeline patterns using SQL, dbt, Python, Apache Airflow, and cloud data warehouse platforms such as Snowflake. They must have strong hands-on experience with data pipeline architecture, continuous delivery practices, and be adept at working in an Agile environment, delivering solutions that balance performance metrics like latency, cost, and reliability.

What you'll do

  • Design and build scalable, resilient data pipelines for analytics and downstream products.
  • Use AI-assisted coding tools effectively to accelerate delivery while maintaining code review and testing practices.
  • Define and support reusable pipeline patterns and standards from both business and technology perspectives.
  • Participate in design sessions and code reviews to enhance the correctness, performance, security, and operability of data systems.
  • Execute delivery using Agile methodology and continuous integration/continuous delivery practices.
  • Build pipeline definitions with strong technical judgment to balance latency, cost, freshness, and reliability.

What we're looking for

  • 2+ years of professional experience in data engineering or software engineering with a focus on data.
  • Strong hands-on skills with SQL, dbt, and Python for data transformation and pipeline automation.
  • Proven understanding of data pipeline architecture and cloud data services like Snowflake and Airflow.
  • Experience contributing to the design and architecture of data systems and pipelines.
  • Solid problem-solving and debugging skills across SQL, logs, and orchestration failures in a fast-paced environment.

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