Managing Engineer, Data Engineering
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Before you apply
LocationUS - Remote
Work moderemote · United States
Typefull-time
SeniorityLead
DepartmentData Engineering
Company size10,000+ people
PostedOct 5, 2026 · 1mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Lead the design, development, and delivery of scalable data solutions
Lead, mentor, and coach Data Engineers
Hands-on engineering with technical leadership experience
Partner with Product Managers, Software Engineers, Data Analysts, Architects, and business stakeholders
Develop reusable patterns for data ingestion, transformation, storage, and access
Integrate data from APIs, databases, event streams, third-party platforms, and enterprise systems
Actively involved in architecture discussions, solution design, code reviews, troubleshooting, and complex problem-solving
Promote modern engineering practices including version control, automated testing, continuous integration, automated deployment, and infrastructure automation
Establish standards for data quality, validation, monitoring, lineage, and observability
Optimize data pipelines, databases, queries, and storage solutions for performance and cost
Support production operations and lead during critical incidents, root-cause analysis, and preventative improvements
Translate business and product needs into technical roadmaps and clearly defined engineering work
Manage risks, dependencies, resource needs, and competing priorities
Communicate progress, technical recommendations, risks, and dependencies to stakeholders and leaders
About the company
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
We are seeking Two Managing Engineers, Data Engineering to lead the design, development, and delivery of scalable data solutions that support digital products, analytics, and business decision-making.
Both opportunities combine hands-on engineering with technical leadership, team development, and delivery responsibility. You will partner with Product Managers, Software Engineers, Data Analysts, Architects, and business stakeholders to deliver reliable, secure, and high-performing data products.
Based on an assessment of each candidate’s experience, technical expertise, and leadership background, candidates may be considered for the opportunity that best aligns with their qualifications.
Key Responsibilities
People and Engineering Leadership
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Lead, mentor, and coach Data Engineers while supporting their technical and professional development.
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Promote a culture of collaboration, accountability, knowledge sharing, and continuous improvement.
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Establish engineering standards and encourage consistent use of best practices.
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Balance hands-on engineering with technical leadership, team development, and delivery responsibilities.
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Depending on the position level, support or lead hiring, onboarding, performance feedback, career development, and workforce planning.
Data Solution Design and Development
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Lead the design, development, implementation, and support of scalable batch and streaming data solutions.
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Develop reusable patterns for data ingestion, transformation, storage, and access.
•
Integrate data from APIs, databases, event streams, third-party platforms, and enterprise systems.
•
Remain actively involved in architecture discussions, solution design, code reviews, troubleshooting, and complex problem-solving.
•
Ensure data solutions are reliable, maintainable, secure, scalable, and cost-effective.
Engineering Excellence and Production Support
•
Promote modern engineering practices, including version control, automated testing, continuous integration, automated deployment, and infrastructure automation.
•
Establish standards for data quality, validation, monitoring, lineage, and observability.
•
Optimize data pipelines, databases, queries, and storage solutions for performance and cost.
•
Support production operations and provide leadership during critical incidents, root-cause analysis, and preventative improvements.
•
Identify opportunities to reduce technical debt and operational risk.
Product Collaboration and Delivery
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Partner with Product Managers, Architects, Engineers, Analysts, and business stakeholders to understand priorities and deliver effective data solutions.
•
Translate business and product needs into technical roadmaps and clearly defined engineering work.
•
Lead or contribute to planning, prioritization, estimation, and delivery activities.
•
Manage risks, dependencies, resource needs, and competing priorities.
•
Communicate progress, technical recommendations, risks, and dependencies to stakeholders and leaders.