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About the role
- Data Engineer II developing ETL/ELT solutions for higher education data warehouse. Ensuring reliable institutional data for strategic decision-making by university leaders.
Responsibilities
- Design, build, and deploy robust ETL/ELT solutions using SQL and Python.
- Perform comprehensive unit testing and participate in code reviews to ensure data integrity and system reliability.
- Monitor and evaluate pipeline performance trends to proactively prevent bottlenecks and system failures.
- Diagnose and resolve complex ETL issues in real-time, identifying root causes to prevent recurrence.
- Work closely with analysts and senior engineers to expand reporting models that meet evolving university goals.
Requirements
- Previous experience in the Higher Education or EdTech sector.
- 3+ years of professional experience specifically in ETL/SQL development and data engineering.
- Expertise in SQL: Strong proficiency in developing complex queries, analyzing data, and managing system integrations.
- Data Architecture Knowledge: A solid understanding of data warehouse concepts, structures, and dimensional modeling.
- Coding Proficiency: Experience with at least one object-oriented programming language (Python, Java, etc.).
- An Analytical Mindset: The ability to think on your fly and approach technical challenges with a solution-oriented focus.
- Autonomy: A drive to explore technical hurdles and find solutions with minimal supervision in a fast-paced environment.
Benefits
- competitive salary
- paid time off
- healthcare
- vision
- dental
- 401(k) w/ company match
- parental leave
- remote work flexibility
- home office perks
- fun, collaborative work environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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