Enterprise Intelligence Solutions Engineer

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 19%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Freedom Mortgage

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 1990

💸 Finance

🏠 Immobilier

👥 B2C

💰 €500 000 000 Debt Financing - Freedom Mortgage en 2025-08

Finance • Real Estate • B2C

Freedom Mortgage est un prêteur et gestionnaire de prêts hypothécaires résidentiels basé aux États-Unis qui offre des produits de prêts immobiliers et des services connexes aux consommateurs. L'entreprise propose des prêts hypothécaires pour l'achat et le refinancement (VA, FHA, USDA et conventionnels), des HELOCs, des termes à taux fixe et ajustable, des refinancements avec retrait de trésorerie et simplifiés, des outils de gestion de compte en ligne et de paiement, ainsi qu'un support client comprenant des conseillers en prêt. Freedom Mortgage se concentre sur l'origine et le service des prêts hypothécaires pour les consommateurs (B2C) pour les acheteurs de maison et les propriétaires.

Description

• Design, architect, develop, and implement end-to-end enterprise intelligence solutions for complex business challenges • Transform business capabilities into reusable enterprise intelligence products supporting analytics, automation, artificial intelligence, and operational excellence • Establish engineering standards, architectural patterns, and reusable solution frameworks with fellow engineers • Apply enterprise architecture principles for scalability, reliability, governance, security, maintainability, and cost efficiency • Design and develop cloud-native data platforms, integration frameworks, APIs, and enterprise data pipelines • Engineer reusable enterprise data products, semantic models, and curated datasets for analytics and artificial intelligence • Optimize enterprise data processing, storage, and cloud platform performance • Implement DataOps, CI/CD, Infrastructure as Code, automated testing, observability, and operational monitoring • Develop analytical models, forecasting solutions, executive dashboards, KPIs, and decision-support capabilities • Perform exploratory data analysis, statistical modeling, and predictive analytics • Apply machine learning techniques to improve operational performance and customer outcomes • Design and develop AI-enabled enterprise applications and intelligent automation solutions • Build AI agents, Retrieval-Augmented Generation solutions, enterprise copilots, and natural language interfaces • Integrate Large Language Models into enterprise applications using responsible AI principles • Evaluate emerging AI technologies and recommend innovative business solutions • Develop enterprise applications, APIs, and modern user experiences • Apply version control, peer reviews, automated testing, DevSecOps, and continuous integration • Embed governance, metadata, lineage, security, privacy, and data quality into solutions • Ensure compliance with enterprise architecture, regulatory requirements, and organizational standards • Develop reusable engineering standards, templates, accelerators, and best practices • Mentor fellow engineers and foster innovation and continuous improvement • Comply with company policies and procedures and maintain regular, punctual attendance • Perform other related duties as assigned

🎯 Exigences

• Strong software engineering experience using modern programming languages and cloud-native development practices • Advanced proficiency in SQL, Python, APIs, Git-based development, and modern software engineering methodologies • Experience with enterprise cloud platforms including Snowflake, Microsoft Fabric, Azure, Databricks, or similar technologies • Experience designing enterprise architectures, reusable business capabilities, and modern data ecosystems • Strong understanding of enterprise governance, security, metadata, and integration architecture • Excellent analytical thinking, communication, collaboration, and stakeholder engagement skills • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, Engineering, or equivalent professional experience • Five or more years designing and delivering enterprise software, analytics, AI, or cloud data solutions • Preferred: experience with Generative AI, AI agents, Large Language Models, and Retrieval-Augmented Generation • Preferred: experience with Streamlit, React, .NET, or similar technologies • Preferred: experience with DevSecOps, CI/CD, Infrastructure as Code, DataOps, and MLOps • Preferred: experience in mortgage loan originations, mortgage servicing, or broader financial services • Preferred: professional certifications related to Azure, Snowflake, Microsoft Fabric, AWS, Google Cloud, AI, or software engineering • Certificates, licenses, and registrations: None required • Ability to perform essential job functions satisfactorily, with or without reasonable accommodation • Occasional ability to lift or move up to 25 pounds

🏖️ Avantages

• Equal employment opportunities • Reasonable accommodations for applicants and employees with disabilities • Professional certifications related to Azure, Snowflake, Microsoft Fabric, AWS, Google Cloud, AI, or software engineering may be relevant preferred qualifications