Senior Data Engineer
Senior Data Engineer
Posted on :
18-07-2025
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1 Vacancy
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Job Description
Development (50%)
Disclaimer
The University of Kansas prohibits discrimination on the basis of race color ethnicity religion sex national origin age ancestry disability status as a veteran sexual orientation marital status parental status gender identity gender expression and genetic information in the universitys programs and activities. Retaliation is also prohibited by university policy. The following person has been designated to handle inquiries regarding the nondiscrimination policies and is the Title IX coordinator for all KU and KUMC campuses: Associate Vice Chancellor for Civil Rights and Title IX Room 1082 Dole Human Development Center 1000 Sunnyside Avenue Lawrence KSTTY.
Work Schedule
M-F 8-5
Contact Information to Applicants
Prasanna Tadimeti
Position Overview
Analytics Institutional Research & Effectiveness (AIRE) at the University of Kansas brings together analytical and technical staff to support KUs data strategy and data-informed decision making. The Senior Data Engineer plays a critical role in designing building and maintaining complex data systems including data pipelines data warehouses and data lakes. This role is integral to enabling advanced analytics business intelligence and AI/ML-powered insights across the institution.
The Senior Data Engineer will work closely with cross-functional teams to ensure scalable secure and reliable data infrastructure and contribute to KUs mission of fostering self-service analytics and data governance.
Additional Candidate Instruction
A complete application consists of:
Application review begins Monday July 28 2025 and will continue until a qualified applicant has been identified.
- Design develop and maintain scalable ETL/ELT pipelines integrating data from diverse internal and external sources.
- Develop and optimize SQL-based processes to support data loading transformation and validation tasks.
- Architect and implement cloud-based data solutions using platforms such as AWS or Azure.
- Maintain and enhance KUs Data Warehouse and Data Lake environments to support analytics dashboards and operational reports.
- Support AI/ML model integration pipelines and prepare data for model training scoring and inferencing.
- Collaborate with BI Analysts Data Scientists and business stakeholders to translate requirements into performant data engineering solutions.
- Build and maintain APIs and web services for data access exchange and automation.
- Maintain and document data workflows source-to-target mappings and architecture diagrams in accordance with data governance policies.
- Ensure metadata capture and compliance with KUs data catalog and dictionary.
- Provide production support for ETL/ELT jobs data pipelines and cloud-based infrastructure.
- Troubleshoot issues related to data ingestion transformation and availability.
- Monitor job performance and system health coordinating with IT operations as needed.
- Participate in upgrade cycles for ETL tools cloud platforms and database systems.
- Support version control code deployment and CI/CD practices for data applications.
- Mentor junior data engineers and guide technical implementation best practices.
- Lead code reviews and drive architectural decisions for data projects.
- Communicate project progress risks and technical challenges to stakeholders.
- Participate in sprint planning retrospectives and Agile ceremonies.
- Define and execute data validation strategies for all data pipelines and models.
- Implement audit controls data quality checks and reconciliation procedures.
- Collaborate with QA teams and business users for UAT and production validation.
- Participate in campus-wide data initiatives pilot projects and tool evaluations.
- Contribute to continuous improvement and innovation in KUs data engineering practices.
Disclaimer
The University of Kansas prohibits discrimination on the basis of race color ethnicity religion sex national origin age ancestry disability status as a veteran sexual orientation marital status parental status gender identity gender expression and genetic information in the universitys programs and activities. Retaliation is also prohibited by university policy. The following person has been designated to handle inquiries regarding the nondiscrimination policies and is the Title IX coordinator for all KU and KUMC campuses: Associate Vice Chancellor for Civil Rights and Title IX Room 1082 Dole Human Development Center 1000 Sunnyside Avenue Lawrence KSTTY.
Work Schedule
M-F 8-5
Contact Information to Applicants
Prasanna Tadimeti
- Bachelors degree in computer science Information Technology Engineering Mathematics Statistics or a related field and ten (10) years of relevant professional experience OR Masters degree with eight (8) years of experience.
- Over ten (10) years of hands-on experience with SQL and database systems (e.g. Oracle PostgreSQL SQL Server MySQL).
- Experience in data warehousing and data lake architectures.
- Over eight (8) years of experience using Python for scripting automation and data manipulation across divers projects and environments.
- Experience developing scalable ETL/ELT pipelines.
- Hands-on experience with cloud platforms (AWS Azure or GCP).
- Experience working with APIs and web services for data integration.
- Over five (5) years of experience in data modeling validation and applying data governance principles to ensure data integrity and compliance.
- Experience integrating AI/ML workflows into data pipelines.
- Experience with data cataloging and metadata management tools.
- Experience with data security access control and compliance frameworks.
- Experience working in an Agile environment with CI/CD tools.
- Excellent communication documentation and collaboration skills as evidenced by application materials.
Position Overview
Analytics Institutional Research & Effectiveness (AIRE) at the University of Kansas brings together analytical and technical staff to support KUs data strategy and data-informed decision making. The Senior Data Engineer plays a critical role in designing building and maintaining complex data systems including data pipelines data warehouses and data lakes. This role is integral to enabling advanced analytics business intelligence and AI/ML-powered insights across the institution.
The Senior Data Engineer will work closely with cross-functional teams to ensure scalable secure and reliable data infrastructure and contribute to KUs mission of fostering self-service analytics and data governance.
Additional Candidate Instruction
A complete application consists of:
- The University of Kansas online application
- A cover letter that describes how you meet the required and preferred qualifications
- A Resume or CV
- Contact information for three (3) professional references
Application review begins Monday July 28 2025 and will continue until a qualified applicant has been identified.
Required Experience:
Senior IC
Employment Type
Full Time
Key Skills
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