Job DescriptionRisk Engineering and Risk Insights collectively design, build, and operate data-driven and software-based risk and compliance solutions that integrate into the SDLC and enterprise platforms. The teams apply modern engineering practices to deliver scalable data pipelines, automation, dashboards, and embedded control capabilities that enable TORC to understand risk, drive control-led behaviors, and make timely, evidence-based decisions.
The Managing Engineer is a hands-on engineering leader responsible for leading teams that build, deliver, and operate these products in production. This role blends strong technical leadership, people leadership, and delivery ownership, ensuring high-quality, reliable solutions with measurable business and engineering impact.
Role 1: Managing Engineer - Risk InsightsKey Responsibilities- 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
Essential Skills- 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
Role 2: Managing Engineer - Risk Engineering Key Responsibilities- Lead and manage a team delivering control capabilities as software products embedded in enterprise platforms
- Set technical direction across design, development, deployment, and operation of security controls
- Act as a hands-on leader contributing to architecture, design decisions, and critical-path development
- Own production outcomes including system reliability, performance, and operational health
- Partner with Digital Product Managers and engineering teams to align across roadmaps and delivery
- Drive modern software practices (TDD, CI/CD, observability, paired programming)
- Translate security and compliance requirements into scalable engineering solutions and reusable patterns
- Influence adoption of secure engineering standards and platform-integrated controls
- Lead agile execution with a strong focus on outcomes over process
Essential Skills- 5+ years of software engineering experience with hands-on coding (Python, Java, or JavaScript)
- 2+ years leading engineers with technical guidance (architecture, design, code reviews)
- Experience building and operating distributed, cloud-based systems and microservices architectures
- Strong experience with APIs, backend services, and secure system design
- Knowledge of DevSecOps practices, CI/CD pipelines, and monitoring/observability
- Experience deploying or supporting AI-based or advanced engineering capabilities
- Experience working in agile environments delivering engineering and security outcomes
Desirable Skills (Applicable Across Both Roles)- Experience in risk, compliance, security, or technology operations domains
- Exposure to cloud-native and containerized environments (AWS, Azure, Kubernetes, Docker)
- Ability to influence adoption of standards, reusable patterns, and scalable solutions across teams
- Experience mentoring senior engineers and developing technical leaders
- Strong stakeholder management and ability to navigate cross-team dependencies
- Familiarity with operational metrics, reporting, or control effectiveness measures
- Ability to balance delivery speed with quality, security, and user experience
- Commitment to building scalable, reliable, and low-friction solutions that improve organizational outcomes
#LI-SM1
SkillsApache Kafka, Microsoft Power Business Intelligence (PBI), People Leadership, Python (Programming Language), Spring Boot, Structured Query Language (SQL)
CompensationCompensation offered for this role is 120,000.00 - 193,725.00 annually and is based on experience and qualifications.
Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.
Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.
