Remote Analytics Engineer III - AI-Ready Data Pipelines

Tracker-RMS; United States; Remote; USD 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Medical plans

401(k) starting on day one

Voluntary benefits: life and/or other

Sick time as required by law

Zusammenfassung

Overture Partners, LLC is seeking an experienced Database Analytics Engineer III to design, develop, and maintain scalable data models, semantic layers, and data pipelines for enterprise reporting, advanced analytics, and AI-enabled apps. This remote US role targets candidates with strong SQL, Python, and cloud data platform experience.

You will independently deliver complex data solutions, create reusable data products, and collaborate with cross-functional teams to improve data accessibility

Qualifikationen

• Education: Bachelor's degree or equivalent experience in CS/IS/Data Science.
• Five+ years of analytics engineering or data engineering experience.
• Advanced SQL and Python with data transformations and analytics.
• Hands-on with dbt or comparable transformation frameworks and cloud data platforms.
• Understanding of dimensional modeling, semantic models, and enterprise data design.

Aufgaben

• Design, build, test, and maintain modular data models and transformations using dbt, SQL, and Python.
• Apply dimensional modeling and medallion design principles to data architecture.
• Improve query performance, data usability, and processing costs.
• Create governed semantic layers and metadata for AI-ready data.

Kenntnisse

Advanced SQL

Python

Analytics engineering

Cloud platforms

Ausbildung

Bachelor's degree in CS/IS/Data Science

Tools

dbt

Dagster

AWS

Jobbeschreibung

Overture Partners, LLC is seeking an experienced Database Analytics Engineer III to design, develop, and maintain scalable data models, semantic layers, and data pipelines for enterprise reporting, advanced analytics, and AI-enabled apps. This remote US role targets candidates with strong SQL, Python, and cloud data platform experience.

You will independently deliver complex data solutions, create reusable data products, and collaborate with cross-functional teams to improve data accessibility