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# Staff Analytics Engineer

- **Company:** Recruiting from Scratch
- **Location:** Los Angeles, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $175,000.0 - $185,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Analysis, Cloud Computing, Cloud Storage, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Dimensional Modeling, Python (Programming Language), Meta-Data Management, Performance Tuning, Systems Development Life Cycle, Software Engineering, SQL Databases, Tableau (Software), Delivery Pipeline, Snowflake, Git, Data Layers, Free and Open-Source Software, Looker Analytics, Programming Languages
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-analytics-engineer-los-angeles-ca--4606e4d9-f6de-4137-9475-91143b59639a

## About the Role

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

## Description

* 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