Note: The job is a remote job and is open to candidates in USA. Sigma Inc. is seeking an Analytics Engineer III to build and maintain analytics-ready data models, semantic layers, and pipelines. The role supports reporting, AI-enabled solutions, and machine learning workflows while contributing to data architecture and collaborating with technical and business teams.
Responsibilities
- 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 establish consistent and trusted definitions across reporting and AI applications
- Develop metadata, documentation, and structured data context that enables LLMs and AI agents to accurately interpret and query organizational data
- Build and support orchestrated data pipelines
- Develop curated datasets, features, and embeddings for machine learning and AI analytics
- Implement data quality testing, data contracts, and observability processes to ensure data accuracy and reliability
- Apply software engineering best practices, including Git, code reviews, automated testing, and CI/CD
- Collaborate with stakeholders to translate business and research requirements into scalable data solutions
- Contribute to data architecture, data modeling, and technical solution design
Skills
- Bachelor's degree in **Computer Science, Information Systems, Data Science, Data Analytics**, or a related field, or an 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
- Hands-on experience building data models and transformations using **dbt or similar data transformation tools**
- Git/version control
- Code review
- Automated testing
- CI/CD
- Data pipeline orchestration
- Experience with **data modeling and data architecture**
- Experience implementing semantic layers in cloud-based **lakehouse environments**
- Ability to independently analyze technical requirements and deliver complex solutions with minimal supervision
- Strong communication and collaboration skills
- Solid understanding of **data governance, privacy, and security best practices**
- Experience with technologies such as **Amazon S3, Apache Iceberg, and Trino** is highly relevant
- Exposure to **Large Language Models (LLMs)**
- Experience with **Retrieval-Augmented Generation (RAG)**
- Experience working with **embeddings**
- Experience supporting **AI-driven analytics or AI agents**
- Experience delivering data products for machine learning applications
Benefits
- Remote/Hybrid – Preference for candidates local to Boston who can come onsite as needed
Company Overview