Senior Data Engineer

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Adtalem Global Education is a national leader in post‑secondary education and a leading provider of professional talent to the healthcare industry. Adtalem 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, Adtalem is building a brighter future for communities and the world.

Adtalem 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.

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Adtalem is a data‑driven organization. The Data Engineering team builds data solutions that power strategic and tactical business decisions and support 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 Adtalem. Adtalem is looking for a Senior Data Engineer who is a technical powerhouse and can scale our data platform to meet ever‑growing business needs.

• 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
• Perform other duties as assigned
• Comply with all policies and standards

• Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or another related technical field (Required)
• Master’s Degree in Computer Science, Computer Engineering, Software Engineering, or related field (Preferred)
• 2+ years experience in Google Cloud with services like Big Query, Composer, GCS, Data Stream, 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 a workflow management tool and build operators to connect, extract and ingest data as needed
• Experience tuning queries for performance and scalability
• Experience in real‑time data ingestion using GCP Pub/Sub, Kafka, Spark or similar
• Excellent organizational, prioritization and analytical abilities
• 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 an agile environment

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $85,000.00 and $. Actual pay will be adjusted based on job‑related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors;…