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Job Description

Build and support Python and Azure ML capabilities that power real estate valuation and related analytics in a hybrid role in Lewisville, TX.

Responsibilities

  • Design, build, and maintain Python-based data pipelines for ingestion, transformation, and integration across internal and external sources
  • Integrate data from internal systems such as SharePoint using the Microsoft Graph API
  • Build and support ETL/ELT processes feeding the Azure environment, using Azure Data Factory, Azure Blob Storage, and Synapse/Fabric
  • Maintain data quality, reliability, and governance for datasets used in modeling and reporting
  • Create and optimize data models, SQL queries, and workflows using the team’s standard project structure (raw, processed, train/test data)
  • Assist with deploying, monitoring, and maintaining ML models in production (including gradient-boosted ensembles, classification, and ranking models)
  • Develop data preparation and feature engineering pipelines in Python
  • Support model evaluation, testing, and performance monitoring, including basic fairness/quality checks where relevant for regulated models
  • Collaborate with Data Scientists to operationalize models and move research code into production-ready services
  • Automate model training, scoring, and deployment workflows, including containerized deployment with Docker/AKS
  • Translate requirements by partnering with Data Science, Data Engineering, and business stakeholders
  • Participate in code reviews, testing, and deployment activities using Git version control
  • Document technical solutions, data dictionaries, and operational procedures
  • Continuously learn and adopt new AI/ML and data engineering tools relevant to the Azure-centric stack
  • Support the evolving Azure data platform, including transition toward Microsoft Fabric and Purview-based governance

Requirements

  • 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

Tech Stack

  • Python
  • Azure
  • Microsoft Graph API, SharePoint
  • Azure Data Factory
  • Azure Blob Storage
  • Synapse, Fabric (Microsoft Fabric)
  • SQL
  • Docker, AKS
  • Git
  • Microsoft Purview

Benefits

  • Eligible team members perks and health benefits
  • Annual bonus, incentives, and other employment-related benefits, including medical, dental, and vision benefits
  • 401K retirement plan
  • Paid-time off
  • Reasonable accommodations

Location: Lewisville, TX (hybrid)
Compensation: USD 112,000 - 239,000 per year

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