Associate Data Engineer

Adtalem Global Education is a national leader in post-secondary education and 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.

Visit Adtalem.com for more information, and follow us on LinkedIn and Instagram.
 

Adtalem 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 data platform, data pipelines and data governance policies this team provide the basis for decision-making in Adtalem.

• Work closely with various business, IT, Analyst and Data Science groups to collect business requirements.
• Work closely with Senior Data Engineers in the design & development phase and follow the CI/CD deployment pipeline.
• Collaborate with senior data engineers and develop optimal data solutions by applying the business logic and building objects in the semantic layer of the data warehouse.
• Follow the documentation standards and document the design and support strategy of all the data pipelines.
• Collaborate with senior data engineers to capture, store, and socialize data lineage and operational metadata.
• Play a crucial role in solving data pipeline issues and communicate the impact & status to stakeholders.
• Understand the pipeline flow, dependencies, origins and service levels of data systems to continuously improve the accuracy, timeliness, and availability of data.
• Performs other duties as assigned.
• Complies with all policies and standards.

• Bachelor's Degree Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or other related technical field Required
• One (1) plus year Experience in data engineering solutions such as data platforms, ingestion, data management, or analytics.
• One (1) plus year Experience in any cloud platform (GCP, AWS, Azure).
• Excellent 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.
• Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment.

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $64,225.00 and $116,083.75. 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; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.

Adtalem offers a robust suite of benefits including:

• Health, dental, vision, life and disability insurance
• 401k Retirement Program + 6% employer match
• Participation in Adtalem’s Flexible Time Off (FTO) Policy
• 12 Paid Holidays
  
  For more information related to our benefits please visit: https://careers.adtalem.com/benefits.

Equal Opportunity – Minority / Female / Disability / V / Gender Identity / Sexual Orientation