Enterprise Intelligence Solutions Engineer

🕒 vor 9 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

💻 Lösungsingenieur

👻 Geisterscore 10%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Freedom Mortgage

WebsiteLinkedInAlle Stellen

5001 - 10000 Mitarbeiter

Gegründet 1990

💸 Finanzen

🏠 Immobilien

👥 B2C

💰 €500.000.000 Debt Financing - Freedom Mortgage im 2025-08

Finance • Real Estate • B2C

Freedom Mortgage ist ein in den USA ansässiger Wohnhypothekengeber und -dienstleister, der Verbrauchern Kreditprodukte für Wohneigentum und damit verbundene Dienstleistungen anbietet. Das Unternehmen bietet Hypotheken für den Kauf und die Refinanzierung (VA, FHA, USDA und konventionelle), HELOCs, Fest- und variabel verzinste Darlehen, Cash-Out- und Streamline-Refinanzierungen, Online-Kontoverwaltung und Zahlungswerkzeuge sowie Kundensupport inklusive Kreditberatern. Freedom Mortgage konzentriert sich auf die Erzeugung und Betreuung von Verbraucherkrediten (B2C) für Hauskäufer und Hauseigentümer.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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