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Senior Analytics Engineer
Job Description
Position Number:
112528Title:
IT Senior EngineerFunctional Title:
Senior Analytics EngineerCategory Status:
33-Exempt RegularApplicant Search Category:
StaffUniversity Authorized FTE:
1.000Unit:
VPUR-DevelopmentCampus/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 (BI) unit within University Relations at the University of Maryland is seeking a Senior Analytics Engineer with extensive experience in dbt (data build tool) to join our team. This role is crucial in modernizing our data workflows and transforming raw data into valuable insights. This person will have a strong background in data engineering and analytics, with a focus on implementing and optimizing dbt workflows.
Key Responsibilities:
- Data Transformation and Modeling: Lead the development and maintenance of analytics workflows using dbt to clean, transform, and document raw data into consumable information and business logic. Ensure high data quality and reliability in the production environment.
- Collaboration with Data Teams: Work closely with data analysts, data engineers, and other stakeholders to understand business needs and deliver scalable data solutions. Facilitate the use of modern data warehouses and self-service analytics tools.
- Data Quality and Governance: Implement robust data testing frameworks to ensure the accuracy and consistency of data. Document all business logic and maintain up-to-date data models.
- Performance Optimization and Support: Optimize SQL queries and data pipelines for performance and cost efficiency. Provide support for ad-hoc data requests and troubleshooting as needed.
30/60/90 Day Plan:
- First 30 days: Onboard with the team, understand current data infrastructure, and begin familiarizing with existing data pipelines and dbt models.
- Next 60 days: Start developing and optimizing dbt models, implement data quality tests, and collaborate with stakeholders on data requirements.
- By 90 days: Fully integrate into the team, manage and optimize data pipelines, and deliver the first set of transformed data models for stakeholder review.
Benefits Summary
Top Benefits and Perks:Minimum Qualifications:
Education:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience and education.
Experience:
- Minimum of 5 years in data engineering, analytics engineering, or a related role.
- Extensive hands-on experience with dbt (data build tool) for data transformation and workflow management.
- Proficiency in SQL for complex query development and optimization.
- Experience with cloud-based data warehouses such as Snowflake, BigQuery, or Redshift.
- Familiarity with data visualization tools like Tableau, Looker, or Power BI.
Knowledge, Skills, and Abilities:
- Strong background in data modeling, data warehousing, and data quality assurance.
- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.
- Strong communication skills to articulate complex technical concepts to non-technical stakeholders.
- Passion for continuous learning and staying updated with industry trends.
- Familiarity with AI Copilots for code generation, debugging and automation
Preferences:
Preferences:
- Experience with TSQL and MS SQL Server
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Experience with Fivetran for automated data integration.
- Proficiency in Python for data processing and scripting.
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.
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
Salary range: low $100,000s to mid $120,000s commensurate with education and experience.
Job Risks
Not Applicable to This PositionPhysical 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:
06/12/2024Open Until Filled
YesBest Consideration Date
07/10/2024Diversity 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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