Senior Manager- Data Engineering- Job Code 00043
Chicago, IL, United States
Full Time Senior-level / Expert USD 139K - 159K
Adtalem Global Education
Adtalem Global Education is a leading healthcare educator dedicated to addressing workforce needs through exceptional training programs and academic curriculums in healthcare.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.
In our U.S. locations, we operate on a hybrid work model with a four-day in-office schedule, Monday–Thursday. This in-office time fosters creativity, innovation, communication, and stronger team relationships, supporting both individual and organizational success.
Visit Adtalem.com for more information, and follow on Twitter and LinkedIn.
Job Description
Duties: Adtalem Global Education Inc. seeks a Sr. Manager, Data Engineering based in Chicago, IL to design and build trusted, reliable, and timely datasets, metrics and data pipelines that are critical to company direction. Manage cloud technology stack, cloud infrastructure, and cloud database modelling techniques including push-down optimization, table partitioning, and clustering techniques. Build and lead a high-performing data engineering team in a hands-on technical capacity. Responsible for shaping the acquisition, collection and leveraging of data. Define and manage SLA's for all data sets and processes running in production. Work closely with Product Managers, Analysts, Data Scientists to develop and own data-driven systems. Utilize PowerShell, VBScript, Python, Cognos, Tableau, and Power BI. Implement IaaS and PaaS for system and database architecture, data solutions design and administration, release processes, and project planning. Design and implement solutions across serverless cloud data warehouse and data ingestion strategies including Google Cloud Platform (GCP), Snowflake, and Informatica Cloud. Assist development team in troubleshooting, coding, testing, implementation, and documenting solutions. Support, grow, mentor and inspire new and existing team members. Be a key leader of the Data and Analytics team, working to propel the business towards being more data-driven. Telecommuting permitted from anywhere in the US.
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Qualifications
Requirements: Master’s degree in Information Technology, Computer Science, or a related field of study plus 2 years of commercial software development experience. Must have 2 years of experience with each of the following: (1) IaaS and PaaS implementations for system and database architecture, data solutions design and administration, release processes, and project planning; (2) solution design and implementation across serverless cloud data warehouse and data ingestion strategies including Google Cloud Platform (GCP), Snowflake, and Informatica Cloud; (3) cloud technology stack, cloud infrastructure, and cloud database modelling techniques including push-down optimization, table partitioning, and clustering techniques; (4) designing and building data warehousing ETL using SSIS, Informatica Cloud, and GCP services; (5) designing, building, and supporting automation techniques for data loads; (6) designing and building APIs for external teams; (7) PowerShell, VBScript, and Python; (8) Cognos, Tableau, and Power BI; (9) Azure DevOps, Rally Version One, GitHub, and SSCM; and (10) Building GDPR and SOX data compliant.
Interested candidates must submit resumes online at careers.adtalem.com or by email at hrijobs@adtalem.com and reference job code 00043 in the subject line.
Additional Information
In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $139,901 to $159,585. 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.
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
Tags: APIs Architecture Azure Clustering Computer Science Data pipelines Data warehouse Data Warehousing DevOps Engineering ETL GCP GitHub Google Cloud Informatica Pipelines Power BI Python Snowflake SSIS Tableau Testing
Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Insurance
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