Managing Engineer, Data Engineering

Allstate

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
IL
Salary
$120,000–$193,725 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k
This role $157k
$109k $227k
below market most similar roles pay here above market

This role pays less than 64% of similar roles. Most pay $137,800–$215,118 — the blue band above. At the midpoint, this role pays about $157k versus about $176k 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 40 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 40 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Managing Engineer, Data Engineering

JOB TITLE: Managing Engineer, Data Engineering The Managing Engineer, Data Engineering leads the design, development, and delivery of scalable data solutions to support digital products, analytics, and business decision-making. This role combines hands-on engineering with technical leadership, requiring the individual to mentor data engineers, establish engineering standards, and manage delivery responsibilities. Day-to-day tasks include developing reusable patterns for data ingestion, transformation, and storage while integrating data from APIs, databases, and event streams. The successful candidate will utilize Python, Java, Scala, SQL, and NoSQL databases alongside technologies such as Apache Spark, Apache Kafka, Apache Flink, dbt, Docker, and Kubernetes. The role focuses on building reliable, secure, and cost-effective batch and streaming data solutions while ensuring data governance, security, and observability across enterprise data products and cloud modernization initiatives.

What you'll do

  • Lead, mentor, and coach data engineers to support their technical and professional development.
  • Design, develop, and support scalable batch and streaming data solutions.
  • Develop reusable patterns for data ingestion, transformation, storage, and access.
  • Integrate data from APIs, databases, event streams, and third-party platforms.
  • Promote modern engineering practices including version control, automated testing, and CI/CD.
  • Optimize data pipelines, databases, and storage solutions for performance and cost.
  • Translate business needs into technical roadmaps and lead planning, prioritization, and delivery.
  • Ensure all data solutions meet security, privacy, governance, and regulatory requirements.

What we're looking for

  • 5 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems.
  • 1 or more years of experience providing technical leadership, mentorship, coaching, or project leadership.
  • 7 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems.
  • 3 or more years of experience leading, mentoring, or managing technical professionals.
  • Strong hands-on experience developing data pipelines using Python, Java, Scala, or a comparable programming language.
  • Experience with Apache Spark, Apache Kafka, Apache Flink, dbt, or comparable technologies.
  • Strong knowledge of SQL, NoSQL databases, data modeling, and data architecture.
  • Experience with Docker and Kubernetes.

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