Senior Data Engineer

Company Description

About Covista 

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 at scale. Covista 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, 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 isn't 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. 

For more information, visit covista.com and follow us on LinkedIn, Instagram and YouTube.

Job Description

Covista is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Covista. Covista is looking for a Senior Data Engineer who is a technical powerhouse who can scale our data platform to meet ever growing business needs.

Responsibilities

• Work closely with various business, IT, Analyst and Data Science groups to collect business requirements

• Design, develop, deploy and support high performance data pipelines both inbound and outbound.

• Model data platform by applying the business logic and building objects in the semantic layer of the data platform.

• Optimize data pipelines for performance, scalability, and reliability.

• Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.

• Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.

• Document the design and support strategy of the data pipelines

• Capture, store and socialize data lineage and operational metadata

• Troubleshoot and resolve data engineering issues as they arise.

• Develop REST APIs to expose data to other teams within the company.

• Mentor and guide junior data engineers.

• Performs other duties as assigned

• Complies with all policies and standards

Qualifications

• Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or another related technical field Required.
• Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Preferred.
• 2+ years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows Required.
• 6+ years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics Required.
• Expert knowledge on SQL and Python programming.
• Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
• Experience in tuning queries for performance and scalability.
• Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
• Excellent organizational, prioritization and analytical abilities.
• Have proven experience working in incremental execution through successful launches.
• Excellent problem-solv