Senior Data Engineer

University of Maryland, United States

Updated: 2 months ago
Location: College Park, MARYLAND
Deadline: ;

Posting Details
Posting Details


Position Number: 112528
Title: IT Senior Engineer
Functional Title: Senior Data Engineer
Category Status: 33-Exempt Regular
Applicant Search Category: Staff
University Authorized FTE: 1.000
Unit: VPUR-Development
Campus/College Information:
Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.
Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify you from employment.
Position Summary/Purpose of Position:
The Business Intelligence unit within University Relations is on a mission to modernize its data warehousing infrastructure. We are actively seeking a Senior Data Engineer with expertise in Apache Airflow to support this transformation. The Data Engineer will play a pivotal role in enhancing our ELT/ETL processes, ensuring seamless data flow from various in-premise and cloud sources into our MS Warehouse. This role is crucial in supporting the University of Maryland’s advancement operations, which encompasses development, alumni and donor relations, gift processing, and more. The Data Engineer will collaborate closely with business stakeholders, understanding their data requirements, and implementing scalable, Airflow-based solutions. They will also be responsible for supporting the Python data analysis stack and implementing best practices in data governance.
Responsibilities:
  • Design, build, and maintain scalable cloud-based data pipelines using Python, Apache Airflow, and PySpark.
  • Implement real-time data streaming solutions and batch processing using modern technologies.
  • Work closely with data scientists and analysts to turn data into critical information and knowledge that can be used to make sound business decisions.
  • Implement containerization solutions using Docker to ensure a consistent and scalable environment.
  • Ability to learn and leverage current data visualization tools to create dynamic data applications and dashboards for various business units.
  • Develop complex SQL queries for data analysis and reporting.
  • Ensure data quality and integrity through robust testing frameworks.
  • Collaborate with a cross-functional team on ms in an agile environment.
  • Have working knowledge of ML concepts for data modeling
Benefits Summary Top Benefits and Perks:

Exempt Benefits Summary

Minimum Qualifications:
Education (include licenses, certifications, etc.):
Bachelor’s degree required or equivalent combination of education and experience.
Experience:
  • Minimum of 7 years of overall experience in Business Intelligence and Data Engineering.
  • Minimum of 5 years of hands-on experience with Python for data analysis, wrangling, and/or mining.
  • Strong expertise in Apache Airflow for workflow management is a must.
  • In-depth experience with PySpark for large-scale data processing.
  • Hands-on experience with creating data applications.
  • Proficiency in SQL for complex query development.


Knowledge, Skills, and Abilities:
  • A strong background in Python-based data engineering and a deep understanding of cloud-based solutions.
  • This role will be instrumental in transforming our data architecture and driving business decisions through actionable insights.
Preferences:
Preferences:
Experience with AWS and Docker containerization.
Additional Certifications:
Additional Information:
The University offers a comprehensive benefits package, including generous paid time off ; Tuition Remission ; Health , Dental , Vision and Prescription coverage; Retirement benefits ; Family Care ; and more .
Candidates must be able to provide proof of eligibility to work in the USA. No Visa sponsorship is offered for this position.
Salary Range is $102,600 – $128,250
This position allows for a combination of in-person and telework days as approved by the supervisor. Guidance regarding hybrid work is subject to change at any time to align with operational or business needs.
Job Risks Not Applicable to This Position
Physical Demands
Sedentary work with the majority of time spent using a desktop/laptop computer. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. Ability to travel across campus for meetings.
Posting Date: 11/03/2023
Closing Date:
Open Until Filled Yes
Best Consideration Date 01/24/2024
Diversity Statement:
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.

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