Staff Analytics Engineer
About The Position
We’re representing a leading edtech company building next-generation curriculum, assessment, and learning tools used by millions of students across the United States.Their platform empowers educators and administrators with data-driven insights that improve student outcomes, optimize teaching strategies, and support more effective school systems. The company operates at significant scale, serving over 15 million students nationwide, and is deeply focused on leveraging data to drive meaningful educational impact. As a Staff Analytics Engineer , you will play a critical role in shaping the company’s data foundation—designing systems, models, and pipelines that power analytics, reporting, and product insights.
Requirements
- 8+ years of experience in software, data, or analytics engineering.
- 5+ years specifically in data/analytics engineering roles .
- Deep expertise in SQL and analytical data modeling .
- Strong experience with dbt and code-based ETL/ELT frameworks .
- Experience designing scalable data pipelines and warehouse architectures .
- Strong understanding of Kimball data modeling principles .
- Experience working with cross-functional teams (data science, engineering, product).
- Excellent written and verbal communication skills.
- Bachelor’s degree in Computer Science, Data Science, or equivalent experience.
Nice To Haves
- Proficiency in Python or another programming language.
- Experience with Snowflake, AWS (S3, RDS, etc.), and Postgres .
- Experience with orchestration tools like Airflow .
- Familiarity with BI tools such as Looker or Tableau .
- Experience with semantic layers like Cube.dev .
- Exposure to metadata tools (e.g., Atlan).
- Experience in education or edtech .
- Passion for mentorship, knowledge sharing, and improving team standards.
- Strong interest in building high-quality, scalable data systems.
Responsibilities
- Design and build scalable ELT pipelines using dbt and modern data tooling.
- Architect and maintain data warehouse schemas that support analytics and reporting.
- Develop robust analytical models and metrics for internal and customer-facing use cases.
- Work closely with data scientists, analysts, and engineers to ensure clean, reliable datasets.
- Implement best practices around data governance, privacy, and security .
- Optimize SQL transformations using advanced techniques (CTEs, window functions, etc.).
- Improve CI/CD processes, testing frameworks, and deployment pipelines for data workflows.
- Mentor engineers and contribute to team-wide standards, documentation, and best practices.
- Building datasets that track student performance and progress over time .
- Designing slowly changing dimension models tailored to education systems.
- Improving data pipeline reliability and scalability.
Benefits
- Comprehensive medical, dental, and vision coverage
- 401(k) retirement plan
- Paid time off and parental leave
- Mental health and wellness support
- Professional development programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees
