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Senior Data Engineer

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Summary:

  • Reporting directly to the Associate Director of Regulatory Reporting & Academic Analytics, assists in the assembly and reporting of student data (i.e., retention, placement, graduation rates, learning outcomes, etc.) for externally mandated reporting (federal, state, and programmatic accreditors), administrative decision making, and strategic planning.
  • Conducts research to determine best approach to collect required data.
  • Gathers data by query, survey, etc., performs statistical analyses, provides reports and interpretation of findings for use by University administration and campus personnel.
  • Supports the Associate Director by providing data extraction, analysis, interpretation, and preparation of reports.
  • Provides information and analytic support to the University’s administrative decision makers in order to facilitate strategic planning, policymaking, resource allocations, enrollment projections, and programmatic improvements.

Responsibilities:

  • Supports the University’s strategic response to external surveys, reports, and accreditation requirements, resolving issues of interpretation and definition. Collaborates with internal stakeholders to ensure compliance with mandatory data reporting.
  • Extracts, validates, and prepares data for both internal and external reporting.
  • Provides standardized student statistical reports on a weekly, monthly, and quarterly basis. Ensures comprehensive reports are developed in a timely manner with data including student enrollment, degrees awarded, demographics, numbers/FTE faculty, and admissions statistics within a specified time frame.
  • Assists in the collection of data elements central to ongoing assessment, evaluation, review, and planning at the programmatic and departmental level. Contributes to a culture of transparency (e.g., updating University websites to include elements such as enrollment demographics, and placement rates, etc.). Utilizes various data sources such as CampusVue, admissions or exit exams, national or state board exams or others to analyze student success and make recommendations for improvement.
  • Supplies student performance data for Annual Learning Outcome Reviews for student outcomes within academic programs. Provides additional data in support of assertions of student success or lack thereof, and related recommendations.
  • Maintains regular and timely attendance, reports to work as scheduled and assures time worked and/or time-off is recorded properly.

Knowledge/Experience:

  • Bachelor’s Degree or equivalent to graduation from a four-year college or university, including or supplemented by advanced understanding and applications of data integration, data engineering, database administration or data analytics; Graduate study in computer science, information systems, economics, mathematics, statistics, or engineering is highly desired.
  • Minimum of 3 years of working experience in data integration, data engineering, database administration, or data analytics.
  • Prefer at least 3 years of experience in Higher Education and Institutional Research.
  • Experience with languages for queries and analysis of data, such as Python and SQL.
  • Experience with analyzing data for business context and prioritization of data integration implementations.
  • Demonstrated advanced Excel skills (i.e., developing macros, pivot tables, etc.).
  • Experience with business intelligence software (e.g., Power BI, Tableau) and the graphic display of quantitative data.
  • Relevant experience in a higher education institutional research function preferred.
  • Experience in higher education data management, data analysis and regulatory reporting.
  • Experience with annual Integrated Postsecondary Education Data System (IPEDS) report requests.
  • Experience in using computer-based tools such as data warehouses and data modeling software.
  • Adept at working with data, including data integration, data quality, databases, and data analytics.
  • Mastered the art of meeting deadlines while working at a fast pace under stress and pressure.
  • Enormously cautious about protecting the privacy and security of data.
  • This is an onsite position where you will work in our Administrative office in Irvine on a daily basis.

Compensation:

  • $123,478.46 - $179,098.46
  • Great Benefits Package

 

#LI-CM1

#HEJ

CA Salary Range

USD $123,478.46 - USD $179,098.46 /Yr.

Bonus Eligible

No

WCU Company Overview

Do you want a career that allows you to make a difference in other people’s lives? Discover what it means to truly believe in the work that you do at West Coast University.

At West Coast University, we have the privilege of educating students seeking careers in healthcare and guide them through their transformational journey from student to caregiver. Our associates are united behind that purpose and share a deep commitment to our values of teamwork, collegiality, transparency, and a student-centric approach to all we do. This focus creates an aligned, nimble, and consensus-driven culture that is solution-oriented and supports our associates’ professional growth.

WCU EEO Statement

West Coast University is proud to be an equal opportunity employer. We embrace diversity and are dedicated to creating an inclusive environment for all associates.

Average salary estimate

$151288 / YEARLY (est.)
min
max
$123478K
$179098K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Engineer, West Coast University, Inc.

Join West Coast University as a Senior Data Engineer in beautiful Irvine, where you can contribute to making a real difference in the lives of students as they embark on their journey in healthcare education. In this exciting role, you will work closely with the Associate Director of Regulatory Reporting & Academic Analytics, assisting in compiling and reporting crucial student data such as retention and graduation rates. Your analytical skills will shine as you conduct research to determine the best methods for data collection, and you will be involved in gathering and analyzing data to provide valuable insights for administrative decision-making and strategic planning. The Senior Data Engineer will extract, validate, and prepare data for both internal and external reporting, ensuring all reports are comprehensive and produced timely. You'll take an active role in supporting compliance with accreditation requirements and collaborating with internal stakeholders. With a focus on transparency, you’ll also contribute to enhancing our University’s digital presence by updating websites with essential student statistics. We're looking for someone with a Bachelor’s Degree and at least three years of experience in data integration or analytics, preferably within higher education. Proficiency in Python, SQL, and advanced Excel will set you apart, along with experience in business intelligence software like Power BI or Tableau. If you're ready to bring your expertise to a team that values growth, collegiality, and student success, apply today and discover how rewarding a career can be at West Coast University.

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at West Coast University, Inc.
What are the responsibilities of a Senior Data Engineer at West Coast University?

As a Senior Data Engineer at West Coast University, your key responsibilities will include assembling and reporting student data, conducting statistical analyses, and providing insightful reports that support university administration. You will also extract and prepare data for various internal and external reporting needs, while ensuring compliance with accreditation requirements and collaborating with different departments.

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What qualifications are needed for the Senior Data Engineer position at West Coast University?

To qualify for the Senior Data Engineer position at West Coast University, candidates need a Bachelor’s Degree supplemented by advanced knowledge in data integration, engineering, or analytics, with a minimum of three years of related experience. Familiarity with Python, SQL, and business intelligence tools is essential, along with strong analytical skills and experience in higher education settings.

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How does a Senior Data Engineer contribute to strategic planning at West Coast University?

A Senior Data Engineer plays a crucial role in strategic planning at West Coast University by providing data analysis, interpretation, and reporting. These insights help university leaders make informed decisions regarding resource allocations, enrollment projections, and programmatic improvements, ultimately enhancing the educational experience for students.

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What tools will a Senior Data Engineer use at West Coast University?

In the role of Senior Data Engineer at West Coast University, you will utilize various tools including SQL for querying data, Python for data manipulation, Excel for advanced data analysis, and business intelligence software like Power BI or Tableau for graphical data representation. You may also work with data warehouses and modeling software to streamline data integration processes.

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What type of work environment can a Senior Data Engineer expect at West Coast University?

At West Coast University, a Senior Data Engineer will work in an onsite office environment in Irvine, California. The culture emphasizes teamwork, collegiality, and a student-centric approach, fostering a solution-oriented atmosphere that supports professional growth and collaboration.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with data integration and how it relates to the role of Senior Data Engineer?

When answering this question, highlight specific projects where you successfully integrated data from various sources. Discuss the tools you used, any challenges you faced, and how you ensured data integrity and quality throughout the process.

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How do you handle data privacy and security when working as a Senior Data Engineer?

Emphasize your understanding of data privacy regulations and best practices. Discuss specific methods you use to secure sensitive information, such as encryption and access control, as well as your commitment to compliance with relevant laws and regulations.

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What statistical analysis techniques are you familiar with, and how have you applied them in previous roles?

Mention specific statistical techniques you’ve used, such as regression analysis or hypothesis testing. Provide examples of how these techniques helped you derive insights from data and improve processes or reporting in your past positions.

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Can you provide an example of a complex data project you led and the impact it had?

Select a project that showcases your technical skills and leadership qualities. Discuss the project’s objectives, the methodologies you implemented, and how the results influenced decision-making or improved outcomes within the organization.

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How do you prioritize tasks and manage deadlines in a fast-paced environment?

Share your time management strategies, such as using project management tools or setting clear priorities. Highlight your ability to adapt to changing priorities and how you communicate with stakeholders to ensure timely deliverables.

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What experience do you have with business intelligence software, and how do you use it to present data?

Discuss your familiarity with tools like Power BI or Tableau, and describe how you’ve created visualizations to communicate data insights effectively. Mention any specific dashboards you've built and the feedback received from users.

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How do you ensure the accuracy and quality of the data you work with?

Explain the methods you implement to verify data quality, such as conducting regular audits, cross-referencing data from multiple sources, and using automated validation processes. Stress the importance of accuracy in your work.

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Describe a time when you had to collaborate with multiple stakeholders on a data project.

Reflect on a specific experience where teamwork was essential. Discuss how you communicated with various stakeholders to gather requirements and ensure that the project met everyone's needs. Highlight your collaborative approach.

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What are your strategies for extracting insights from large datasets?

Talk about your analytic approach, which might include data cleaning techniques, exploratory data analysis, and leveraging statistical methods to identify trends. Providing an example of how this approach led to actionable insights would strengthen your response.

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How do you stay current with emerging trends in data engineering and analytics?

Convey your commitment to continuous learning by mentioning any courses, webinars, or relevant publications you follow. Discuss any professional groups or networks you are part of that help you stay informed about industry advancements.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
March 29, 2025

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