Staff Engineer

GEICO

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $105,000–$230,000 / yr
Posted: 23 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $189k

This role $168k

$90k most similar roles pay here $245k

This role pays less than 67% of similar roles. Most pay $162,125–$216,650 — the shaded band above. At the midpoint, this role pays about $168k versus about $189k for comparable roles.

Based on 239 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 · Staff Engineer

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We are seeking a Senior Software Engineer to join our dynamic and innovative team at GEICO, where you will play a pivotal role in developing scalable data solutions using Apache Trino and other cutting-edge technologies. Your primary responsibilities include designing and implementing robust data pipelines, optimizing query performance, and collaborating with cross-functional teams to deliver high-quality software products. You will work on complex business problems related to large-scale data processing and analytics within the insurance industry. Ideal candidates possess extensive experience with distributed systems, SQL databases, and a strong background in Java or Python. Familiarity with cloud platforms like AWS is highly desirable as you will be working at scale to enhance our data infrastructure and support mission-critical operations.

Skills

Apache_Trino SQL Python AWS Kubernetes Docker CI/CD Git Jenkins Terraform PostgreSQL MongoDB Redis Linux Nginx Ansible Prometheus Grafana

What you'll do

Design and implement data processing pipelines using Apache Trino.
Optimize query performance for large-scale data sets.
Develop scripts to automate routine database tasks.
Troubleshoot issues related to data integrity and consistency.
Collaborate with stakeholders to understand data requirements.

What we're looking for

5+ years of experience in data engineering and analytics.
Proficient in Apache Hadoop ecosystem tools and frameworks.
Expertise in SQL for complex query writing and optimization.
Strong knowledge of ETL processes and data warehousing solutions.
Experience with cloud platforms like AWS or Azure for big data.
Excellent problem-solving skills and ability to work under pressure.

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