Senior Data Engineer
Kent State Kent, Ohio, United States · $77K–$92K/yr
Architecture and Planning · 11-50 employees
About the role
The Senior Data Engineer will design and maintain scalable data pipelines, data models, and integration solutions to support university-wide analytics. They will also automate data processes, ensure data integrity, and provide technical leadership through code reviews and mentorship.
What they look for
Requirements
Candidates must possess a bachelor's degree in computer science or a related field and at least five years of progressive experience in data engineering and relational database management. Proficiency in advanced SQL, logical data modeling, and data warehouse design is required.
Full description
Job Title:
Senior Data Engineer
Physical Location:
Kent Campus - Kent, OH
Salary:
$77,158 - $91,853
Basic Function:
The Data Management & Analytics team at Kent State University is looking for a Senior Data Engineer to join us as we continue modernizing the university's analytics and integration platforms.
Our team develops and supports the data platforms that power reporting, analytics, decision making, and enterprise integrations across the university. In this role, you'll work across both our analytics and data engineering initiatives, helping design and build scalable data pipelines, data models, and integration solutions that connect information from systems throughout the institution.
This is an opportunity to work on a wide variety of projects, from enabling university-wide analytics and reporting to supporting critical enterprise integrations and data services. If you enjoy solving complex data challenges, working with modern technologies, and helping shape how data is managed and delivered at scale, we'd love to hear from you.
Additional Basic Function – if applicable:
Not applicable.
Examples of Duties:
Duties/essential functions may include, but not be limited to, the following:
Create and maintain optimal data lake, data mart, data warehouse, and data integration architectures.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal data process improvements such as automating manual processes, optimizing data delivery, ensuring data integrity, re-designing infrastructure for greater scalability, etc.
Build the infrastructure and integrations required for optimal ETL/ELT of data from a wide variety of cloud, hybrid, and on-premises data sources.
Participate in development and implementation of data lifecycle of the modern data warehousing environment.
Coach and perform code reviews for other team members and data professionals across the university.
Perform related duties as assigned.
JOB COMPETENCIES:
Communicate effectively, orally and in writing, with technical and non-technical users.
Maintain cooperative working relationships.
Manage time and effectively balance multiple evolving priorities.
Work effectively with very limited oversight.
Establish estimates and timelines for specific applications/projects and take direct accountability for results.
Establish focused, measurable goals for self and others.
Additional Examples of Duties – if applicable:
Not applicable.
Minimum Qualifications:
Bachelor’s degree in computer science, information technology or a related field of study. Minimum of five years progressive experience in the following:
- Working with relational databases, as well as working familiarity with a variety of databases.
- Advanced logical data model design, data warehouse design, and data integration.
- Performing root cause analysis to perform troubleshooting on data flows through complex systems.
- Analyzing internal and external data and processes for a business to build models to answer specific business questions.
- Building processes for data transformation
- Developing and maintaining system documentation, metadata, data standards, and data quality metrics for data management systems.
- Experience writing advanced SQL.
License/Certification:
None.
Knowledge Of:
Advanced logical data design, data warehouse design, and data integration as well as the management of web content or other unstructured data
Common software application packages and tools for performance monitoring and issues tracking
Testing practices, application debugging, and troubleshooting procedures
Software development life cycle, structured programming, object-oriented design and development techniques, and change management
Managing the development and maintenance of system documentation, metadata, data standards, and data quality metrics for the data management system
Advanced working knowledge of SQL
Skill In:
Time management with the ability to set priorities to coordinate multiple assignments with fluctuating and time-sensitive deadlines
Written and verbal communication, with the ability to present complex technical information in a clear and concise manner to a variety of audiences
Ability To:
Foster positive and professional working relationships; effectively handle interpersonal interactions at all levels; and respond appropriately to conflicts and problems
Work with technical and non-technical staff to identify user needs and translate them into technology-based solutions
Keep abreast of industry trends
Preferred Qualifications – if applicable:
Experience working in a higher education institution.
Experience building solutions to support analytics, machine learning, and data science.
Experience with datalake and data warehouse technologies.
Experience with data analytics tools.
Experience developing solutions that are incorporated into all aspects of an organization’s data services to achieve data governance and data quality best practices.
Assessments:
Asterisk (*) indicates knowledge, skills, abilities which require assessments
Working Conditions / Physical Requirements:
Working Schedule:
Additional Information:
Must pass a security check.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
For official job descriptions, visit www.kent.edu/hr.
Kent State University is a Smoke-Free, Tobacco-Free University effective July 1, 2017. Smoking and tobacco use are not permitted on any of Kent State’s campuses or other locations and properties that are owned, operated, or leased by Kent State, both domestic and international. For additional details, visit www.kent.edu/smoke-free.
Disclaimer:
The intent of this description is to illustrate the types of duties and responsibilities that will be required of positions given this title and should not be interpreted to describe all the specific duties and responsibilities that may be required in any particular position. Directly related experience/education beyond the minimum stated may be substituted where appropriate at the discretion of the Appointing Authority. Kent State University reserves the right to revise or change job duties, job hours, and responsibilities.
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