Skip to main content
System One logo

Analytics Engineer III

System One

Remote · USContract$45–50/hrSeen todaySeen in employer's feed today

Most applications go out cold — see where you stand first. No sign-up to start.

You apply on the employer's site, with no Olive account needed.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$45–50/hr
Location
Remote · US
Schedule
Contract
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Analytics Engineer III designs and maintains analytics-ready data models, semantic layers, and pipelines that support reporting, analytics, and AI solutions at a university. The role applies software engineering principles to create trusted, reusable data products and governed business context. It works independently on complex tasks and collaborates with data, AI, and university business partners; its scope may evolve with emerging technologies and institutional needs.

Skills & qualifications

RequiredNice to have

Skills

SQL, requiredPython, requiredData Modeling, requiredData Transformations, requiredGit, requiredCode Review, requiredAutomated Testing, requiredCI/CD, requiredPipeline Orchestration, requiredData Architecture, requiredSemantic Layer Implementation, requiredCloud Lakehouse Environments, requiredCommunication, requiredData Governance, requiredPrivacy, requiredSecurity Best Practices, requiredLLMs, nice to haveRAG, nice to haveEmbeddings, nice to haveAI-Driven Analytics, nice to have

Qualifications

Bachelor's in Listed or Related Field or Equivalent, required5+ Years Professional Experience, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full job description

Job Title: Analytics Engineer III

Location: Boston, MA

Type: Contract

Compensation: $45-$50/hr

Work Model: Remote

Hours: 8am to 5pm MF

Overview

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

  • 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.

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, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services 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 full-time 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.

How this job compares

Set against the 2,926 open Data Engineering jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This posting$45–50/hr
  • US median$48–60/hr96 hourly ranges

This range's midpoint, $47.50/hr, is 15% below the US median midpoint ($56/hr) — in the middle half of Data Engineering hourly ranges across the US.

Openings
Olive Jobs lists 73 open Data Engineering jobs in Massachusetts and 2,926 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Massachusetts
Experience
This posting asks for at least 5 years of experience; Data Engineering postings that state a minimum ask for 5 years at the median (2,490 postings).
Education
1,089 of the 2,926 open Data Engineering jobs (37%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Prepare for this role

You've read the whole posting — now see how you match it.