Staff Engineer - Java (HYBRID)

GEICO

Remote

Quick summary

Work type
Remote
Location
IL
Salary
$100,000–$230,000 / yr
Posted
39 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $165k
$84k most similar roles pay here $246k

This role pays less than 59% of similar roles. Most pay $142,400–$214,500 — the shaded band above. At the midpoint, this role pays about $165k versus about $178k 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 · Staff Engineer - Java (HYBRID)

We are seeking a Senior Software Engineer to join our dynamic and innovative data engineering team at GEICO. In this role, you will be responsible for designing and implementing robust data solutions using Apache Trino and other cutting-edge technologies. Your day-to-day tasks will include building scalable data pipelines, optimizing query performance, and collaborating with cross-functional teams to enhance data accessibility and analytics capabilities. Ideal candidates should have extensive experience with distributed systems, SQL databases, and a strong understanding of big data processing frameworks. Familiarity with cloud platforms such as AWS or Azure is highly desirable. This position offers the opportunity to work on large-scale datasets and contribute to solving complex business challenges in the insurance industry.

What you'll do

  • Design and implement data processing solutions using Apache Trino.
  • Optimize query performance for large-scale data sets.
  • Develop ETL processes to integrate diverse data sources.
  • Monitor system health and troubleshoot issues in real-time.
  • Document technical designs and procedures for team reference.

What we're looking for

  • 5+ years of experience in data engineering and analytics.
  • Proficiency in Apache Trino and other big data technologies.
  • Strong background in SQL and ETL processes.
  • Experience with cloud platforms like AWS or Azure.
  • Excellent problem-solving skills for complex data issues.
  • Bachelor’s degree in Computer Science or related field.
  • Ability to work effectively in a fast-paced environment.

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