Top Data Engineering Manager Jobs

The Data Engineering Manager will lead a team in enhancing data delivery and quality, oversee data visualization efforts, manage projects, and partner with business leaders to implement a strategic plan.

Manage and lead a team of data engineers, oversee data pipeline development, ensure data quality, and support analytics initiatives in financial services.

Lead technical teams to deliver large-scale data platform initiatives (data lakehouse) as product owner and delivery manager. Own product strategy and roadmap, partner with business stakeholders (Finance/HR), manage development, testing, implementation, and mentor engineers while ensuring on-time, on-budget delivery of enterprise analytics, BI, EPM and AI/ML data solutions.

The role involves leading a team of analytics engineers to develop scalable data solutions for product metrics, ensuring data integrity, and fostering a culture of excellence in data-driven decision making.

Lead a global, hands-on data engineering team building large-scale Databricks/PySpark pipelines, production datasets, customer-facing data feeds, AI-ready analytical datasets, and data quality/observability systems. Partner cross-functionally, use AI coding tools to accelerate delivery, and ensure operational excellence, reliability, and documentation for investor-facing products.

Lead the data engineering team, shaping strategy, managing data pipelines and architecture, and translating business needs into efficient data products.

The Engineering Manager, Data Science will lead a team to drive machine learning initiatives in AdTech, focusing on optimization and modeling strategies to enhance client success and operational efficiency.

Lead a team to design, build, and maintain scalable cloud and big-data systems. Oversee streaming and batch pipelines, data architectures, ingestion, transformation (Spark), modeling, deployment pipelines, and stakeholder collaboration to deliver robust data products and analytics-ready platforms.

The Data Engineering Manager will lead a team, driving technical growth, fostering collaboration, and ensuring effective data architecture and systems.

Manage the Data Platform Team, focusing on high-throughput data infrastructure and AI-native development. Oversee data processing systems, mentor engineers, and align team goals with business objectives.

As Senior Manager of Data Engineering, you will lead development teams, design technical solutions, mentor engineers, and implement cloud-based data systems.

Lead and grow a data engineering team, define data platform architecture and reliability (warehouse, ingestion, transformations, orchestration), set engineering standards, partner cross-functionally to support analytics and ML, and translate technical decisions for executive stakeholders.

Manage a team of developers, data analysts, and data modelers supporting an Enterprise Data Warehouse and ~80 downstream applications. Oversee development projects, application support, quality compliance, budgets/Clarizen tasks, and ensure systems meet business and regulatory reporting requirements while developing team capabilities.

Lead and grow a team of data engineers to deliver production-grade, auditable data platforms and pipelines. Own end-to-end delivery, operations, monitoring, incident response, cost and performance optimisation, engineering standards, and regulatory compliance while partnering with product and modelling stakeholders.

Lead a team of data engineers to build, operate and optimise end-to-end data pipelines and platform components. Own delivery, production operations, monitoring, incident response, cost/performance, and engineering standards. Line-manage, hire, and develop engineers while partnering with product, modelling, governance and platform teams. Ensure regulatory, security, auditability, and governance requirements are met for data products and certified reporting.

The Senior Manager of Data Engineering leads developers in creating technical solutions using various technologies, mentoring staff, and collaborating to enhance cloud-based services for financial empowerment.

Lead a team to design, build, and operate scalable, secure big-data platform infrastructure. Drive cloud and container platform solutions (Kubernetes), CI/CD and IaC adoption, automation, observability, and best practices for distributed systems and microservices. Provide technical direction, ensure operational reliability, integrate security, and develop team members while aligning platform capabilities to enterprise priorities.

As a Senior Manager in Data Engineering, you will lead Agile teams, develop data solutions, and optimize data systems, driving transformation in Capital One's data capabilities.

Lead and grow the data platform engineering team; own technical direction for pipelines, infrastructure, orchestration, and standards; drive reliability, observability, cost optimization, and governance; recruit and mentor engineers; collaborate cross-functionally to align platform priorities with business needs and enable analytics and ML workloads.

Lead and coach a data science team to design, develop, and deploy predictive and prescriptive analytics. Partner with business leaders to identify opportunities, drive adoption of models and insights, manage vendors, and establish data science methodology to deliver measurable business impact.

Lead a team building and operating scalable data pipelines and platform infrastructure. Hands-on coding, code review, and delivery ownership; enforce best practices for testing, CI/CD, observability, and cost optimization. Mentor engineers, recruit talent, and collaborate with analytics, data science, and business stakeholders to translate requirements into platform solutions.

Lead and grow a data engineering team to ingest and operationalize healthcare data, ensuring quality, governance, and timely client integrations.

This role involves leading the development and deployment of data engineering solutions, collaborating with different teams, and ensuring data quality and compliance while managing complex data pipelines and workflows.

Manage and grow a six-engineer backend team building microservices for Canoe's Alts Data Platform. Lead technical design, implementation, and production operations for ingestion, preprocessing, extraction, and resolution services. Remain hands-on coding, collaborate cross-functionally with Data Engineering, AI/ML, DevOps, and AppDev, and drive hiring and reliability improvements.

The Data Engineering Manager leads a team delivering technology solutions, implementing data strategies, guiding technical projects, and ensuring data performance and reliability for analytics and reporting.