Senior Data Engineer

Adtalem Global Education•Lisle, IL

3d•$85,000•Hybrid

About The Position

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 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 who can scale our data platform to meet ever growing business needs.

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or another related technical field Required.
2+ years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, 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 workflow management tools and build operators to connect, extract and ingest data as needed.
Experience in tuning queries for performance and scalability.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
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.

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
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.
Performs other duties as assigned
Complies with all policies and standards