Job Location: Milwaukee, WI
Enterprise- CIBMTR Data Engineer
Position Description:
Position Summary
Enterprise – CIBMTR Data Engineer
Purpose
Prepare data for analytical and operational uses to support diverse stakeholder needs throughout the CIBMTR, including—statisticians and data scientists, scientific directors and third-party partners. Design, develop and implement data-centric solutions aligned to the user needs, aware of diverse data structures and supporting data quality, efficiency and reliability.
Primary Functions
- Collaborate with data subject matter experts and technical professionals in mid to large size multidisciplinary projects as a key member of scrum team in support of data centric solutions.
- Work alongside subject matter experts to acquire deep understanding of data domains and data use to support user data analysis needs
- Work with architects to design, build, test, implement and maintain architectures within a data ecosystem (relational databases, marts, lakes) that organizes and structures data for analytical or operational uses.
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Design, build, test, implement and maintain ETL, data pipelines and components that ingest, integrate, and aggregate data from disparate sources, domains and data models, including—relational databases, data warehouse, data mart and data lake. Design, build, test and maintain data set processes, including stored procedures, automated quality validation checks, and access and security components
- Design & build data set processes, including orchestrating workloads, automating processes and validating data quality checks
- Conduct data profiling and recommend ways to improve data quality, reliability, and efficiency
- Optimize and retrieve data sets to promote high availability of self-service access to data
- Prepare and maintain system documentation for your work that aligns with internal SOP’s, best practice and regulatory compliance.
- Perform other duties as required
Knowledge – Skills – Abilities
Knowledge of computers, electronics, digital media, databases, applications, software development, risk management, and information security. The candidate will have the following qualifications:
- Strong data profiling skills along with uncompromising commitment to preserve data quality and integrity
- Strong knowledge of data modeling as well as centralized and decentralized data warehousing principles
- Highly proficient with PL/SQL and or SQL
- Knowledge of AGILE Scrum
- Basic knowledge of advanced analytical methods, including machine learning preferred
- Support, systems analysis, troubleshooting, problem solving, and listening skills.
- Knowledge of data interoperability and data transfer standards
- Knowledge of R or SAS is preferred
- Knowledge of scripting languages: Perl, Python, and/or Javascript is preferred
- Knowledge of one or more of C#, .NET and Java is preferred
Preferred Schedule:
Position Requirements:
Specifications
Appropriate education and/or experience may be substituted on equivalent basis
Minimum Required Education: Bachelor’s Degree
Minimum Required Experience: 3 years
Preferred Education: Master’s degree
Preferred Experience: 5 years
Field: Computer Science, Informatics, other technical discipline in healthcare or life science
Certification: None
Diversity and Inclusion
The Medical College of Wisconsin defines diversity as a commitment to recognizing and appreciating the variety of individual differences in an environment that promotes and celebrates individual and collective achievement. The diversity of MCW continues to be an important source of innovative ideas and creative accomplishments.
MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination
The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering a diverse community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual’s race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.
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