Hybrid role - Work in office Tuesday and Wednesday at Lewisville location. Must be local to DFW, TX to be considered.

This posting will be open until August 19, 2026. Applications received after this date may not be considered.

Xome's Data Science team builds the models and data infrastructure behind real estate valuation, auction pricing, investor matching, and mortgage servicing analytics. We're looking for an early-career Machine Learning Engineer / Data Engineer I to help build and support the data pipelines and ML systems that power these products, working primarily in Python and Azure.

This role is ideal for someone who enjoys working with data, building reliable pipelines, deploying machine learning models to production, and learning modern cloud and MLOps tooling. You'll work closely with Data Scientists, ML Engineers, and Data Engineering to take models from prototype to production and keep the data feeding them clean and trustworthy.

About the role

Data Engineering

• Design, build, and maintain Python-based data pipelines for ingestion, transformation, and integration across internal systems (e.g., SharePoint via Microsoft Graph API) and external sources.
• Build and support ETL/ELT processes feeding the team's Azure data environment (Azure Data Factory, Azure Blob Storage, Synapse/Fabric).
• Ensure data quality, reliability, and governance across datasets used for modeling and reporting.
• Create and optimize data models, SQL queries, and workflows following the team's standard project structure (raw → processed → train/test data).

Machine Learning Engineering

• Assist in deploying, monitoring, and maintaining machine learning models in production (e.g., gradient-boosted ensembles, classification and ranking models).
• Develop data preparation and feature engineering pipelines in Python.
• Support model evaluation, testing, and ongoing performance monitoring, including basic fairness/quality checks where relevant to regulated models.
• Collaborate with Data Scientists to operationalize models and turn research code into production-ready services.
• Help automate model training, scoring, and deployment workflows, including containerized deployment (Docker/AKS).

Collaboration & Delivery

• Work with Data Science, Data Engineering, and business stakeholders to understand requirements and translate them into technical solutions.
• Participate in code reviews, testing, and deployment activities using Git-based version control.
• Document technical solutions, data dictionaries, and operational procedures clearly.
• Continuously learn and adopt new AI, machine learning, and data engineering tools relevant to the team's Azure-centric stack.
• Support the team's evolving Azure data platform, including the transition toward Microsoft Fabric and Purview-based governance.

About you

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• 0-3 years of professional experience in Data Engineering, Machine Learning Engineering, Software Engineering, or a related technical field.

What you'll get

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at [email protected].

The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $112,000.00-$239,000.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company's current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.