Analytics Engineer III

Project overview

Job Title: Analytics Engineer III

The Analytics Engineer III is responsible for designing, developing, and maintaining the analytics-ready data models, semantic layers, and data pipelines that power reporting, analytics, and AI-enabled solutions at the university. 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, and to provide the governed business context that enables accurate AI analytics, agents, and machine learning workflows.

The Analytics Engineer III works independently on complex tasks, contributes to data architecture and solution design, and collaborates with cross-functional partners across data engineering, AI engineering, and university business units. As analytics, data, and AI disciplines continue to converge, the scope of this role is expected to evolve alongside emerging technologies and institutional needs. This role does not include formal supervisory or leadership responsibilities but may provide knowledge sharing and technical input as part of project work.

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 ensure consistent, trusted definitions across reporting tools and AI applications.
• Develop metadata, documentation, and structured context that enables LLMs and AI agents to accurately interpret and query university data.
• Build and support orchestrated data pipelines, and deliver curated datasets, features, and embeddings for machine learning and AI analytics.
• Implement data quality tests, data contracts, and observability to ensure accuracy and reliability.
• Apply software engineering best practices, including version control, code review, automated testing, and CI/CD.
• Partner with stakeholders to translate business and research needs into data solutions.

Requirements

System One, and its subsidiaries including Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees 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.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Ref: #558-Scientific

System One, and its subsidiaries including Joulé, ALTA IT Services, TeamPeople, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees 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.

• 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.
• Ability to analyze technical requirements and independently deliver complex solutions with minimal oversight.
• Strong communication skills and a solid understanding of data governance, privacy, and security best practices.

Project details

Boston, MA

Type: Contract

Compensation: $45-$50/hr

Work Model: Remote

Hours: 8am to 5pm MF

• Start: flexible
• Remote: remote
• Location: Boston, Massachusetts, US
• Rate: 50-50 EUR/h
• Languages: English