Analytics Engineer III — AI-Driven Data Pipelines & Models

Motion Recruitment; Boston, Northern (MA, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Motion Recruitment seeks an Analytics Engineer III for a contract-to-hire role in the Boston area. You will build and maintain analytics-ready data models, semantic layers, and data pipelines using SQL, Python, dbt, Dagster, and AWS, shaping AI-enabled analytics.

You will collaborate with data engineers, AI engineers, analysts, and business stakeholders to deliver trusted data products for reporting, ML, and AI-powered applications in a hybrid environment with growth opportunities.

Qualifications

• 5+ years in analytics engineering, data engineering, BI development, or related field.
• Advanced SQL and Python skills.
• Experience with data modeling, transformations using dbt or similar tools.
• Understanding of data architecture and analytics engineering principles.
• Experience building and maintaining data pipelines and data platforms.

Responsibilities

• 60% Hands-On Engineering: build, test, and optimize data models, SQL transformations, semantic layers, and data pipelines.
• 25% AI & Data Enablement: develop curated datasets, metadata, and structured context to support AI agents and ML applications.
• 15% Collaboration & Engineering Standards: define requirements, improve data quality, maintain docs, and follow best practices.

Skills

Communication

Cross-functional collaboration

Analytical thinking

Independent problem solving

Education

Bachelor's degree or equivalent experience

Tools

SQL

Python

dbt

Dagster

AWS

Git

CI/CD

Job description

Motion Recruitment seeks an Analytics Engineer III for a contract-to-hire role in the Boston area. You will build and maintain analytics-ready data models, semantic layers, and data pipelines using SQL, Python, dbt, Dagster, and AWS, shaping AI-enabled analytics.

You will collaborate with data engineers, AI engineers, analysts, and business stakeholders to deliver trusted data products for reporting, ML, and AI-powered applications in a hybrid environment with growth opportunities.