Senior Data Engineer

Company Description

Covista is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Covista educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Covista is building a brighter future for communities and the world.

Covista is the parent organization 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.

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.

Visit Covista for more information, and follow us on LinkedIn
 

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 design, build, and maintain robust data engineering solutions that support our company’s innovation initiatives and growth objectives. 

• Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
• Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
• 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.
• Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
• 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.
• Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation
• Mentor and guide junior data engineers.

Qualifications

• Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
• Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. 
• Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI.
• Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. 
• Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities.
• Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
• Expert knowledge on Python programming and SQL.
• Experience with cloud platforms (AWS, GCP, Azure) and their data services
• Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
• Familiarity with synthetic data generation and unstructured data processing
• Experience in AI/ML data pipelines and frameworks
• Excellent organizational, prioritization and analytical abilities.
• Have proven experience working in incremental execution through successful launches.
• Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment.
• Experience working in agile environment.

Additional Information

In support of the pay transparency laws enacted across the country, the expected salary range for this position is