Data & AI Product Engineer

Job not on LinkedIn

🕒 August 22

🇺🇸 United States – Remote

💵 $95k - $115k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Salas O'Brien

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏗️ Construction

🏥 Healthcare

Consulting • Construction • Healthcare

Salas O'Brien is a multidisciplinary engineering and design firm delivering MEP, structural, civil, energy and resiliency, process engineering, digital automation, and sustainability and forensic consulting for buildings, industrial facilities, and infrastructure. The firm specializes in advanced energy and renewables, decarbonization strategy, microgrids, energy optimization, and integrated facility design and commissioning, serving institutional, healthcare, education, data center, aerospace, and manufacturing clients. Salas O'Brien focuses on sustainable, resilient solutions and technical project delivery for other organizations and public-sector partners.

📋 Description

• Build and operate data pipelines on the Lakehouse, including ingestion, transformation, quality checks, and failure monitoring • Develop product features from requirements through production, including testing and documentation • Build machine learning or generative AI components and evaluate their performance and usefulness • Follow platform patterns and engineering standards, and provide feedback for improvement • Participate in code reviews • Investigate defects, address root causes, and communicate updates to the Product Manager • Add instrumentation to measure and improve product usage, reliability, and performance • Work directly with business users to clarify requirements and shape practical solutions • Contribute to design discussions and technical decisions with the product pod • Maintain clear documentation for supported components and workflows • Work from a prioritized product backlog to deliver practical, scalable solutions • Collaborate with a Product Manager and other engineers in a small product pod

🎯 Requirements

• Three or more years of professional experience in data engineering, machine learning engineering, analytics engineering, or software development • Working Python and SQL skills, including the ability to write, test, and debug production code without close supervision • Experience with a cloud data platform and distributed data processing concepts • Experience with version control and collaborative development practices, including branching, pull requests, and code review • Understanding of data modeling and data quality fundamentals • Ability to work from a backlog, communicate progress clearly, and raise risks or timing considerations early • Bachelor's degree in engineering, computer science, mathematics, or a related discipline, or equivalent experience • Hands-on Databricks experience, including workflows, Delta Lake, and Unity Catalog, is highly valued • Experience with continuous integration and deployment practices for data workloads • Experience delivering solutions for internal business users • Databricks certification at the associate or professional level • Experience with MLflow, model serving, or generative AI application patterns • Front-end development experience, including React or a comparable framework • Familiarity with architecture, engineering, or professional services operations

🏖️ Benefits

• Performance-based bonuses • Equity participation • Medical, dental, and vision insurance • 401(k) with company match • Paid time off and company holidays • Wellness programs and employee assistance resources • Professional development support