Data Engineer

Covista•Lisle, IL

8d•Hybrid

About The Position

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.

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Required.
Three (3) plus years of experience in building data lakes and cloud data platforms.
Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
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 working in agile environment.
Excellent problem-solving and critical thinking skills.

Nice To Haves

Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Preferred.

Responsibilities

Work closely with various business, IT, Analyst and Data Science groups to collect business requirements.
Develop, deploy and support high performance data pipelines both inbound and outbound.
Optimize data pipelines for performance, scalability, and reliability.
Ensure quality of critical data element, 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.