Staff Analytics Engineer

• Design and maintain scalable ELT/ETL pipelines using dbt, Airflow, SQL, and modern cloud data tooling
• Build clean, reusable analytical data models and semantic layers powering reporting and product analytics
• Architect warehouse schemas, transformations, and metrics systems optimized for performance and maintainability
• Create datasets that support student performance analysis, adaptive learning systems, and educational insights
• Build and improve slowly changing dimensional models handling school-year transitions and student movement across systems
• Improve deployment workflows, testing infrastructure, CI/CD processes, and data reliability practices
• Collaborate cross-functionally with data scientists, software engineers, analysts, and business stakeholders
• Mentor engineers and contribute to engineering standards, documentation, and knowledge sharing initiatives
• Help shape long-term analytics engineering strategy and technical direction across the organization

Business Intelligence, Training/Teaching Curriculum, Scalable System Development, Database Extract Transform and Load (ETL), Cloud Computing, SQL (Structured Query Language), Machine Tool, Data Modeling, Performance Tuning/Optimization, Metrics, * 8+ years of experience in software engineering, data engineering, or analytics engineering

• 5+ years specifically focused on analytics engineering, data modeling, or modern ELT systems
• Deep expertise in SQL and dbt for production-grade transformation pipelines
• Strong experience with analytical data modeling and Kimball dimensional modeling principles
• Experience designing scalable ETL/ELT workflows and semantic data layers
• Strong understanding of warehouse technologies such as Snowflake and cloud storage systems
• Experience with orchestration and ingestion tools such as Airflow, Fivetran, and Matillion
• Familiarity with BI and semantic tooling including Looker, Tableau, or Cube.dev
• Strong Git, automation, CI/CD, and engineering workflow experience
• Excellent communication and mentorship abilities with experience leading technical initiatives

Preferred

• Fluency in Python or another programming language
• Familiarity with metadata management platforms such as Atlan
• Experience building business intelligence dashboards and reporting frameworks
• Experience within education technology or highly regulated data environments
• Passion for mentorship, teaching, and improving engineering culture
• Open-source contributions, side projects, or demonstrated technical curiosity

• Base salary: $175K - $185K
• Annual discretionary bonus eligibility
• Comprehensive medical, dental, and vision coverage
• 401(k) retirement plan
• Mental health and wellness support
• Paid time off and parental leave
• Professional development and learning programs
• Fully remote work environment within the United States

This education technology company is building modern curriculum, analytics, and assessment products used by millions of students and educators nationwide. Their data organization powers large-scale reporting, analytics, and decision-making systems that help schools better understand student learning outcomes and operational performance. The team operates at the intersection of analytics engineering, data infrastructure, and business intelligence, building scalable platforms and semantic data layers that support educators and administrators at scale.