Remote Data & AI Product Engineer

Salas O'Brien; United States; Remote; USD 95,000 - 115,000; Full time

Benefits offered by this job

Bonus eligibility

Equity participation

Comprehensive benefits

Remote-friendly

Job summary

Salas O’Brien is seeking a Data & AI Product Engineer to build and support data pipelines, models, and AI-enabled features powering practical product offerings. You will work in a remote-friendly environment within the United States, collaborating with a small product pod and a Product Manager to deliver reliable, scalable solutions with quality standards.

The role offers room to grow toward a senior position with opportunities to impact architecture and enable data-driven decisions across

Qualifications

• Three or more years of professional experience in data engineering, ML engineering, analytics engineering, or software development.
• Proficient in Python and SQL; able to write and test production code with minimal supervision.
• Experience with a cloud data platform and distributed data processing concepts.

Responsibilities

• Build and operate data pipelines on the Lakehouse, including ingestion, transformation, and quality checks.
• Develop product features from requirements through production, with testing and documentation.
• Create ML or generative AI components to support the product roadmap and evaluate performance.

Skills

Python

SQL

Data engineering

ML engineering

Analytics engineering

Education

Bachelor's degree in engineering, computer science, mathematics, or related discipline

Tools

Databricks

Unity Catalog

CI/CD for Data

Job description

Salas O’Brien is seeking a Data & AI Product Engineer to build and support data pipelines, models, and AI-enabled features powering practical product offerings. You will work in a remote-friendly environment within the United States, collaborating with a small product pod and a Product Manager to deliver reliable, scalable solutions with quality standards.

The role offers room to grow toward a senior position with opportunities to impact architecture and enable data-driven decisions across