Data Engineer
- Employer
- National University
- Location
- California, United States
- Salary
- Salary Not Specified
- Date posted
- Sep 30, 2022
View more
- Position Type
- Administrative, Academic Affairs, Curriculum & Instructional Development, Instructional Technology & Design (Campus), Business & Administrative Affairs, Computer Services & Information Technology, Technology Administration/Other, Chief Technology & Information Officers
- Employment Type
- Full Time
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Position Summary
This position creates, implements, and maintains a design for the storage and maintenance of various on prem and off prem database systems. This position is also responsible for participating in the development and deployment activities for those systems. Create scripts for data maintenance and bug fixes. Works with various teams to provide information, knowledge, coordination, and tools that support the growth and continued success of NUS. Relies on knowledge and professional discretion to achieve goals. Significant ingenuity and flexibility is expected.
ESSENTIAL FUNCTIONS:
- Develop and maintain data extraction, transfer and loading (ETL) from various sources using Python, SSIS or other tools.
- Implement appropriate security measures throughout the data pipeline.
- Responsible for maintaining metadata management and data quality activities so that data are accurate, reliable and documented.
- Provide support as needed to production systems ensuring that both internal and external client’s needs are met.
- Facilitate the transmission and understanding of data to enable fact-based decisions to various stakeholders, such as leadership, faculty and staff.
- Provide reliable and timely data that supports strategic planning, student success initiates, and educational and operational effectiveness.
- Utilize various software tools and reporting services to deliver actionable data to end-users in a digestible form.
- Possess a positive and constructive attitude.
- Reasonable and consistent Attendance to fulfill requirement of
the position.
- T-SQL or other SQL language Databases: MSSQL, PostgreSQL, Python, R, SSIS, SSRS, Tableau.
- Azure or Google Cloud Platform or AWS/On-Prem Hard Skills: Build, test, and improve/maintain ETL.
- Proficient with Microsoft Word and other applications in the Microsoft Office Suite.
- Deploy/Rollback DB schema changes Create/Alter tables, views, stored procedures, functions, indexes.
- Improve data availability, usability, integrity and security.
- Enjoys data wrangling. Eager to understand internal/external business reporting needs.
- Ability to communicate effectively and work with business stakeholders to arrive at the appropriate solution.
- Comfortable working across departments to gather/spread necessary knowledge to complete a project.
- Willingness to learn new languages/technologies as needed for
the job.
- Bachelor’s degree in a related discipline
- One to three (1-3) years of recent professional experience in data analysis and/or data engineering or equivalent educational experience.
- Experience using Azure or Google Cloud Platform or AWS/On-Prem Hard Skills: Build, test, and improve/maintain ETL.
- Experience in higher education preferred.
- Experience working in a technology-driven enterprise preferred.
- All skills, abilities and education will be considered for minimum qualifications.
National University offers an opportunity to work in an innovative environment that supports diversity.
National University (NU) is proud to be an equal opportunity employer and does not unlawfully discriminate against any employee or applicant for employee per applicable federal, state and local laws. At NU, a diverse mix of highly talented, innovative and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University. We are focused on equality and believe deeply in diversity of race, color, ancestry, age, family care status, veteran status, marital status, creed, religion, sex, gender, sexual orientation, religion, ethnicity, national origin, and other legally protected group status.
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