> Markdown version of [/jobs/ext/3752891-managing-data-engineering-manager](https://www.wearedevelopers.com/jobs/ext/3752891-managing-data-engineering-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Managing Data Engineering Manager - **Company:** Allstate Corporation - **Location:** Springfield, IL, United States - **Salary:** $145,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Application Programming Interfaces (APIs), Automation of Tests, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Systems, Data Streaming, Data Ingestion, Infrastructure Automation Frameworks, Data Pipelines - **Published:** October 15, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3022784845-2 ## About the Role * Data engineering * Batch and streaming data processing * Data ingestion and transformation * Data architecture and solution design * API and database integration * Data pipeline optimization * Data quality and validation * Data governance and lineage * Continuous integration and deployment * Infrastructure automation ## Description Lead the design, development, and delivery of scalable batch and streaming data solutions supporting digital products, analytics, and business decisions. Combine hands-on data engineering with technical leadership, team development, production support, and delivery ownership while partnering with product, architecture, engineering, analytics, and business teams., * Lead, mentor, and coach data engineers and establish engineering standards. * Design, develop, implement, and support scalable batch and streaming data solutions. * Integrate data from APIs, databases, event streams, third-party platforms, and enterprise systems. * Promote automated testing, continuous integration and deployment, infrastructure automation, and strong data quality practices. * Optimize pipelines, databases, queries, and storage; support production incidents and root-cause analysis. * Partner with product and business stakeholders to plan, prioritize, and deliver data solutions while ensuring governance and security.