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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineering Manager - **Company:** Urban Science Applications, Inc. - **Location:** Detroit, MI, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Big Data, C Sharp (Programming Language), Profiling, Information Systems, Computer Programming, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Relational Databases, Distributed Systems, Python (Programming Language), Microsoft SQL Server, DataOps, Software Construction, Software Engineering, SQL Databases, Unstructured Data, Enterprise Application Integration, Data Processing, Information Technology, Data Analytics, Data Management, Software Version Control, Data Pipelines, Microservices - **Published:** October 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5f32ec6e52bd5c7d ## About the Role * Leadership & Communication + Proven experience leading technical projects and mentoring engineers. + Ability to communicate effectively with technical teams, business stakeholders, and senior leadership. + Strong collaboration and relationship-building skills across global organizations. * Technical Expertise + Strong experience with SQL and relational database technologies, particularly Microsoft SQL Server. + Deep understanding of data modeling, ETL/ELT, data integration, and modern data architectures. + Knowledge of structured, semi-structured, and unstructured data platforms. + Experience with distributed systems, APIs, microservices, and enterprise integration patterns. + Hands-on experience with programming/scripting languages such as Python or C#. + Strong understanding of software engineering best practices, CI/CD, testing, source control, and operational support., * Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience. * 8-10+ years of experience in data engineering, software engineering, or related technical roles. * Experience leading, projects, or major technical initiatives. * Experience supporting large-scale data processing and analytics environments. * 2+ years in data-related background * Data Analytics experience is a plus ## Description The Data Engineering Manager is a senior technical and people leadership role within Global Data Services (GDS). This position is responsible for leading data engineering teams, owning critical data platforms and processing components, driving operational excellence, and establishing best practices for data architecture, software engineering, and data management. This role combines strategic leadership, technical expertise, operational accountability, and innovation to ensure Urban Science delivers reliable, scalable, secure, and high-quality data solutions that support products, client systems, analytics, and business operations. This role has current Hybrid Workplace flexibility local to our Detroit, MI office location. Candidates must be available and willing to work in-person two days per week. URBAN SCIENCE DOES NOT AND WILL NOT PROVIDE IMMIGRATION RELATED SPONSORSHIP FOR THIS ROLE, NOW OR IN THE FUTURE, * Leadership & Team Management + Lead, mentor, and develop Data Engineering team members. + Manage performance, career development, succession planning, and staffing needs. + Foster collaboration across Technology, Product, Analytics, Practice, and Client-facing teams. + Provide technical leadership and establish engineering best practices across the organization. + Communicate team performance, priorities, risks, and KPIs to leadership. * Data Engineering & Architecture + Design, build, and maintain scalable data pipelines, platforms, and processing systems. + Own and evolve one or more critical data processing capabilities within GDS. + Define data architecture standards and ensure solutions support business, product, and analytics requirements. + Integrate data from diverse internal, client, and third-party sources. + Apply software engineering, distributed systems, and data management best practices to all solutions. * Operations & Delivery + Ensure reliable, efficient, and sustainable day-to-day data operations. + Oversee production processing, incident management, support processes, and service quality. + Standardize tooling, processes, and documentation to improve scalability and reduce operational risk. + Manage data migrations, troubleshooting, profiling, anomaly detection, and data quality initiatives. + Ensure teams are properly resourced to support current operations and future growth. * Innovation & Continuous Improvement + Identify opportunities to improve data quality, reliability, performance, and cost efficiency. + Lead proof-of-concept initiatives and evaluate emerging technologies, tools, and methodologies. + Drive automation and modernization efforts across data platforms and processes. + Contribute to technology strategy, architectural decisions, and enterprise-wide engineering practices. * Governance & Compliance + Ensure compliance with security, privacy, contractual, and regulatory requirements. + Define and support data governance, access control, and operational policies. + Promote sustainable, documented, and auditable data management practices. + Champion data confidentiality and risk management across all data operations.