Senior Manager- Data Engineering

Covista is America’s largest healthcare educator, serving more than 97,000 students and supported by a community of 385,000 alumni across five accredited institutions. Through personalized, tech-enabled education powered by 10,000 faculty and colleagues, Covista expands access to healthcare careers and addresses the U.S. healthcare workforce shortage ista is the parent company of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University.

Our colleagues come from a wide range of backgrounds, including business, academia, healthcare, government and nonprofits, and are part of a culture where doing exceptional work and making a meaningful difference for students and society aren’t separate goals—they’re one and the same. This means creating an environment where colleagues can develop new skills, build careers that match their ambitions and see the tangible impact of their work on healthcare education and workforce development.

Colleagues who deliver results and embrace new tools to work smarter are valued for their contributions. But what makes working at Covista distinctive is our impact: our faculty and colleagues don’t just support healthcare education—they shape it. This is not abstract purpose work; it’s solving real problems for real people in real communities while advancing careers.

We operate on a hybrid schedule with four in-office days per week (Monday–Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment.

Covista is a data-driven organization dedicated to driving best-in-class student outcomes. The Data Engineering team builds the foundation that powers analytics, AI, and strategic business decisions through robust data platforms, pipelines, and governance policies.

Senior Manager, Data Engineering to lead the design, development, and continual improvement of our data solutions. This role combines hands-on technical expertise with leadership, guiding a high-performing team to deliver reliable, timely, and trusted data that drives business impact.

• Lead the design, implementation, and optimization of data pipelines, datasets, and metrics critical to business decisions.
• Build, mentor, and inspire a high-performing data engineering team.
• Define strategies for data acquisition, collection, and utilization across the organization.
• Establish and manage SLAs for all production datasets and processes.
• Collaborate closely with Product Managers, Analysts, and Data Scientists to develop and maintain data-driven systems.
• Develop self-service reporting and democratization layers to empower teams with data.
• Troubleshoot, code, test, and document solutions to ensure quality and reliability.
• Evaluate current processes to optimize interdepartmental communication, collaboration, and end-to-end process performance.
• Define technology roadmaps and manage incremental execution to achieve short- and long-term business goals.
• Serve as a key leader within the Data and Analytics organization, fostering a data-driven culture.
• Comply with company policies and standards while performing additional duties as needed.
• Travel up to 5% as required.

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
• Eight (8) plus years in data engineering (data platforms, ingestion, management, or analytics).
• Three (3) plus years in leadership roles building and managing high-performing teams. 2+ years experience with Google Cloud Platform services such as Big Query, Composer, GCS, Data Stream, and Dataflows. Proven track record of progressive responsibility starting as a Data Engineer, advancing to higher levels of complexity and ownership.
• Strong analytical skills with the ability to develop and reverse complex engineering solutions.
• Excellent oral, written, and presentation skills, translating complex technical material for management and stakeholders.
• Experience defining roadmaps, managing incremental execution, and…