Role Overview
The Analytics Engineer III is responsible for designing, developing, and maintaining analytics-ready data models, semantic layers, and data pipelines. Working at the intersection of analytics engineering, data engineering, and artificial intelligence, this role applies software engineering principles to transform raw data into trusted, well-documented, and reusable data products.
What You Will Do
Design, build, test, and maintain analytics-ready data models and transformations using dbt, SQL, and Python. Implement metrics and business logic within a semantic layer to ensure consistent, trusted definitions across reporting tools and AI applications.
Why It Might Be a Fit
The role requires experience with software engineering practices, including Git, code review, automated testing, CI/CD, and pipeline orchestration. Exposure to LLMs, RAG, embeddings, or AI-driven analytics is desirable.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Data Analytics, or a related field (or equivalent combination of education and experience)
- 5+ years of professional experience in analytics engineering, data engineering, business intelligence development, or a related technical field
- Advanced SQL and Python skills, with experience building data models and transformations using dbt or similar tools
- Experience with software engineering practices, including Git, code review, automated testing, CI/CD, and pipeline orchestration
- Experience with data modeling, data architecture, and semantic layer implementation in cloud lakehouse environments (e.g., S3, Apache Iceberg, Trino)
- Exposure to LLMs, RAG, embeddings, or AI-driven analytics is desirable
Benefits
- Health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan
To apply for this job please visit linkedin.com.
Follow us on social media