Position Details
About this role
This role involves leading analytics engineering efforts in education data, developing data models, ensuring data quality, and automating data pipelines using dbt and related tools.
Key Responsibilities
- Develop data models
- Ensure data quality
- Automate data transformations
- Lead team in analytics projects
- Optimize pipeline performance
Technical Overview
The candidate will work with dbt, SQL, data vault, kimball methodologies, and data quality frameworks within cloud data platforms and BI systems, leading technical teams and optimizing analytics workflows.
Ideal Candidate
The ideal candidate is a senior analytics engineer with over 7 years of experience in data engineering, specializing in dbt, SQL, and data modeling. They should have strong leadership skills, experience with data quality frameworks, and familiarity with education data privacy regulations like FERPA.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Required
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with dbt or SQL, No experience in data modeling or data quality frameworks, Absence of leadership or team management skills, Unfamiliarity with education data privacy (FERPA)
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile