Managing Engineer, Risk Insights and Risk Engineering

Allstate

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
IL
Salary
$120,000–$193,725 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $208k
This role $157k
$105k most similar roles pay here $261k

This role pays less than 82% of similar roles. Most pay $170,000–$246,150 — the shaded band above. At the midpoint, this role pays about $157k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 36 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 36 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Managing Engineer, Risk Insights and Risk Engineering

Managing Engineer - Risk Insights and Risk Engineering is a hands-on leadership role within the Risk Engineering and Risk Insights teams, where the focus is on building and operating data-driven and software-based risk and compliance solutions. The manager leads engineers to develop scalable data pipelines, ETLs, Python automations, dashboards, and embedded control capabilities integrated into enterprise platforms. Key responsibilities include setting technical direction for architecture, overseeing code reviews, ensuring data quality, and managing production outcomes like system reliability and performance. Candidates must possess expertise in Python, SQL, Spring Boot, and Apache Kafka, while demonstrating proficiency in CI/CD, TDD, and DevSecOps practices. The role addresses the critical business problem of translating complex risk and compliance requirements into automated, scalable engineering solutions to enable evidence-based decisions through robust data modeling and integrated security controls.

What you'll do

  • Lead and manage teams to deliver data products, ETL pipelines, Python automations, and reporting solutions.
  • Provide technical direction for data ingestion, transformation, automation, and visualization projects.
  • Contribute hands-on to architecture design reviews and critical-path development in Python and other core languages.
  • Own operational outcomes including data quality, system reliability, performance, and dashboard availability.
  • Translate risk and compliance requirements into scalable data models and engineering solutions.
  • Drive modern engineering practices such as CI/CD, automated validation, and monitoring across the lifecycle.
  • Partner with stakeholders to align technical roadmaps with business needs and delivery priorities.
  • Mentor engineers and promote a culture of continuous improvement and high-quality software standards.

What we're looking for

  • Must have at least 5 years of engineering experience with hands-on Python and data product delivery or software development in Java/JavaScript.
  • Must have at least 2 years of experience leading engineers with technical oversight including architecture, code reviews, and coaching.
  • Experience building and operating scalable data pipelines, ETLs, and analytical reporting systems is required.
  • Experience building and operating distributed, cloud-based systems and microservices architectures is required.
  • Strong proficiency in data modeling, APIs, backend integrations, and secure system design is required.
  • Knowledge of modern engineering practices including CI/CD, TDD, testing, observability, and automation is required.
  • Experience working in agile environments with cross-functional stakeholders to deliver engineering and security outcomes is required.
  • Candidates must be able to pass a background investigation.

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