Data & AI Product Engineer

Data & AI Product Engineer @ Haag, a Salas O'Brien Company | Jobright.ai

Data & AI Product Engineer jobs in United States

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Haag, a Salas O'Brien Company · 2 weeks ago

Data & AI Product Engineer

United States

Full-time

Remote

Mid Level

$95K/yr - $115K/yr

3+ years exp

Salas O’Brien is an employee-owned engineering and professional services firm focused on delivering lasting solutions across diverse industries. The Data & AI Product Engineer will build and support data pipelines, machine learning and generative AI components, and product applications from requirements through production while collaborating with product teammates and business users. The role also includes monitoring, testing, documentation, code reviews, defect resolution, and contributing to technical decisions.

Architecture & DesignConstructionConsultingArchitectureCivil Engineering

Growth Opportunities

Responsibilities

Build and operate data pipelines on the Lakehouse, including ingestion, transformation, quality checks, and the monitoring that catches failures early

Develop product features from requirements through production, including testing and documentation as part of the delivery process

Build machine learning or generative AI components when they support the product roadmap, including evaluation practices to confirm performance and usefulness

Follow platform patterns and engineering standards for the pod, and share feedback when standards can be improved

Participate in code reviews to improve quality, share knowledge, and support consistent engineering practices

Support what you build by investigating defects, addressing root causes, and communicating updates clearly to the Product Manager

Add instrumentation so product usage, reliability, and performance can be measured and improved

Work directly with business users to clarify requirements, understand intent, and shape practical solutions

Contribute to design discussions and technical decisions with the product pod

Maintain clear documentation for the components and workflows you support

Qualification

PythonSQLCloud Data PlatformsDistributed Data ProcessingVersion ControlData ModelingData QualityDatabricksDelta LakeUnity CatalogContinuous Integration and DeploymentMLflow

Required

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

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

Preferred

Hands-on Databricks experience, including workflows, Delta Lake, and Unity Catalog, is highly valued

Experience with continuous integration and deployment practices for data workloads is also helpful

Experience delivering solutions for internal business users is beneficial, especially when requirements begin as process needs or business questions rather than detailed technical specifications

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

Company

Haag, a Salas O'Brien Company

Forensic engineering and technical consulting firm.

Founded in 1924

Flower Mound, Texas, USA

51-200 employees

https://haagglobal.com/

Funding

Current Stage

Growth Stage

Leadership Team

Justin Kestner

President & CEO

Company data provided by crunchbase