Lead Data Engineer

Company Description Covista is the leading healthcare educator in America, supporting over 97,000 students and a thriving community of 385,000 alumni across five accredited institutions. Our personalized, tech-enhanced education is delivered by 10,000 dedicated faculty and staff, addressing the healthcare workforce shortage through accessible career pathways. Our institutions include the American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine, and Walden University. At Covista, we foster a diverse environment where passion and purpose align, and every team member contributes meaningfully to healthcare education and workforce development. We aim to create a culture that promotes the development of new skills, career advancement, and visible impacts on students and society. We value innovation and results, empowering colleagues to drive change in real communities. We operate on a hybrid schedule, with four in-office days per week (Monday-Thursday), enhancing collaboration, creativity, and communication. Job Description As a data-driven organization, Covista relies on its Data Engineering team to create data solutions that inform strategic business decisions and support analytics and AI initiatives. We are seeking a Lead Data Engineer who will design, build, and maintain robust data engineering solutions that align with our innovation goals and growth objectives. • Architect and optimize scalable data pipelines for real-time, unstructured, and synthetic datasets. • Collaborate with cross-functional teams, including data scientists, analysts, and product owners to deliver impactful data solutions. • Develop and support high-performance data pipelines for inbound and outbound data flows. • Model the data platform by incorporating business logic and creating objects within the semantic layer. • Utilize streaming technologies and cloud platforms for real-time data processing and analytics. • Enhance data pipelines to ensure optimal performance, scalability, and reliability. • Implement CI/CD pipelines for the continuous deployment of data products. • Maintain data quality and collaborate with system owners to address and remediate data issues. • Document the design and operational strategies of the data pipelines. • Capture and maintain data lineage and operational metadata. • Troubleshoot and resolve data engineering challenges as they occur. • Develop REST APIs to make data accessible to internal teams. • Stay updated with emerging technologies and trends in big data, streaming, and synthetic data. • Mentor junior data engineers to foster their growth and skills development. Qualifications • Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or related fields. • Master's Degree in a relevant technical field with at least two years of experience using Google Cloud services such as BigQuery, Composer, GCS, DataStream, Dataflows, BQML, and Vertex AI. • Over six years of experience in data engineering solutions involving data platforms, ingestion, management, and analytics. • Hands-on experience with real-time, unstructured, and synthetic data. • Proficiency in real-time data ingestion using GCP PubSub, Kafka, Spark, or similar technologies. • Expertise in Python programming and SQL. • Experience with cloud platforms (AWS, GCP, Azure) and their associated data services. • Familiarity with workflow management tools like Airflow for data extraction and ingestion. • Knowledge of synthetic data generation and processing of unstructured data. • Experience in AI/ML data pipelines and frameworks. • Strong organizational, analytical, and problem-solving skills. • A track record of successful incremental project execution. • Experience working within an agile development environment. #CVSA Additional Information In accordance with pay transparency laws, the anticipated salary range for this role is $84,835.61 to $149,076.17. Actual compensation will consider experience, training, location, and market factors. Our Talent Acquisition Team is ready to discuss your salary expectations and interests. • Comprehensive health, dental, vision, life, and disability insurance. • 401k Retirement Program with a 6% employer match. • Flexible Time Off (FTO) Policy. • 12 Paid Holidays. For further details about our benefits, please explore our careers page. You are also eligible to participate in an annual incentive program, which is influenced by individual and organizational performance. Equal Opportunity Employer - Minority / Female / Disability / Gender Identity / Sexual Orientation.