Managing Engineer – Risk Insights, Risk Engineering

Allstate

Managing Engineer overseeing data products and engineering practices to deliver insights and control capabilities at Allstate. Leading a team in software development and operational management.

Posted 7/2/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $193,725 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data engineering teams, delivering scalable data products, and implementing modern engineering practices such as CI/CD and automation. Proficient in Python, ETL processes, and data modeling to drive operational excellence and actionable insights.

Highest-signal resume keywords

Python DevelopmentData Pipeline EngineeringETL ProcessesCI/CD PracticesData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Product DeliveryDashboard DevelopmentData Quality PracticesBackend IntegrationsAPIs

Soft Skills

Team LeadershipStakeholder CollaborationAgile ExecutionContinuous Improvement

Tools & Technologies

Data Visualization ToolsAutomated Validation ToolsMonitoring Tools

Industry Keywords

Data EngineeringData IngestionData TransformationRisk and ComplianceAgile Methodologies

Tech Stack

Tools & technologies

ETLPython

About the role

Key responsibilities & impact

Lead and manage a team delivering data products, ETLs, Python automations, dashboards, and reporting solutions.
Set technical direction across data ingestion, transformation, automation, and visualization.
Contribute hands-on to architecture, design reviews, and critical-path Python/ETL/dashboard development.
Own operational outcomes including data quality, reliability, performance, and dashboard availability.
Partner with TORC leaders, Digital Product Managers, and stakeholders to align on data needs and delivery priorities.
Drive modern data engineering practices including CI/CD, automated validation, monitoring, and reusable data patterns.
Translate risk and compliance needs into scalable data models, workflows, and insight-driven solutions.
Enable strong agile execution focused on measurable outcomes and business value.
Promote a culture of continuous improvement, data accessibility, and trusted reporting.

Requirements

What you’ll need

5+ years of engineering experience with hands-on Python and data product delivery.
2+ years leading engineers with technical oversight (architecture, code reviews, delivery coaching).
Experience building and operating scalable data pipelines, ETLs, and analytical/reporting systems.
Strong experience with data modeling, APIs, backend integrations, and data quality practices.
Knowledge of modern engineering practices (CI/CD, testing, observability, automation).
Experience delivering dashboards and translating complex data into actionable insights.
Experience working in agile environments with cross-functional stakeholders.

Benefits

Comp & perks

Comprehensive technology setup including laptop, monitors, headset, keyboard, and mouse.
Monthly connectivity reimbursement to help offset internet costs.
Health insurance.
Paid time off.
Professional development opportunities.