Senior Data Engineer
Company: Adtalem Global Education
Location: Warrenville
Posted on: January 8, 2026
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Job Description:
Company Description 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 . Job Description 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 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 between $84,835.61 and $149,076.17.
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: You are also
eligible to participate in an annual incentive program, subject to
the rules governing the program, whereby an award, if any, depends
on various factors, including, without limitation, individual and
organizational performance. Equal Opportunity – Minority / Female /
Disability / V / Gender Identity / Sexual Orientation
Keywords: Adtalem Global Education, Skokie , Senior Data Engineer, IT / Software / Systems , Warrenville, Illinois
