Senior Data Engineer

🕒 il y a 1 mois

⛰️ Colorado – Distant

⛰️ Colorado – Remote

💵 $100 000 - $170 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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AmeriSave Mortgage Corporation

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2002

💸 Finance

🏠 Immobilier

Finance • Real Estate

AmeriSave Mortgage Corporation est un leader des prêteurs hypothécaires en ligne, offrant une variété de solutions de financement immobilier, incluant des premières et secondes hypothèques, des prêts sur valeur domiciliaire et des options de refinancement. Avec 20 ans d'expérience dans le domaine hypothécaire, AmeriSave a servi plus de 733 603 emprunteurs à travers 49 états aux États-Unis. L'entreprise se targue de fournir des processus hypothécaires simples et rapides avec un accès à des devis et des approbations rapides, des taux bas et des verrous de taux sécurisés. AmeriSave s'engage à aider ses clients à atteindre la liberté financière et de meilleures positions financières grâce à une utilisation responsable de la valeur domiciliaire et à des solutions hypothécaires efficaces. L'entreprise est bien considérée pour son excellent service clientèle et son accessibilité, offrant un support en plusieurs langues et mettant l'accent sur des interactions en ligne faciles pour la commodité des clients.

Description

• Design, develop, and maintain robust enterprise data warehouse solutions that support data science, artificial intelligence, and business intelligence requirements. • Architect scalable ETL/ELT pipelines to efficiently transform raw data into structured, analytics-ready formats. • Build and manage API integrations, including hands-on API development. • Utilize T-SQL and Azure Data Factory to create, optimize, and manage data integration workflows. • Use Microsoft Fabric notebooks for transformation and orchestration where appropriate, leveraging Lakehouse and Warehouse for supplemental storage. • Ensure high data quality, integrity, and performance through meticulous query tuning and process optimization. • Collaborate with data scientists, software developers, business intelligence teams, and stakeholders to develop and deploy data solutions that meet business needs. • Translate business requirements into technical solutions and coordinate smoothly between engineering and other teams. • Lead the creation of scalable, reliable data models and optimize them for performance and usability. • Drive continuous improvement in data engineering processes and practices to keep them efficient and aligned with industry best practices. • Monitor system performance and proactively implement improvements to maximize efficiency and scalability. • Troubleshoot and resolve data-related issues to ensure reliable data delivery.

🎯 Exigences

• 5+ years of hands-on experience in data warehousing, data engineering, or a similar role. • Extensive experience with T-SQL, including advanced query development and performance tuning. • 5+ years as a SQL Server / Azure SQL DBA — performance tuning, index and statistics management, execution-plan analysis, and proactive capacity planning. • Proficiency with pipeline development and configuration using Azure Data Factory (ADF). • Working familiarity with Microsoft Fabric (notebooks and pipelines for transformation, Lakehouse, and Warehouse) • Expertise in Python for data engineering tasks, including data manipulation and workflow management. • Strong understanding of data modeling, data architecture, and best practices in data governance. • Experience handling sensitive/PII data and supporting data quality and governance in a regulated, financial-services environment. • Experience preparing clean, analytics- and ML-ready datasets to support data science and AI workloads. • Excellent problem-solving skills and the ability to work independently as well as collaboratively. • Strong communication skills to effectively liaise with both technical teams and non-technical stakeholders.

🏖️ Avantages

• 401(k) • Dental insurance • Disability insurance • Employee discounts • Health insurance • Life insurance • Paid time off • 12 paid holidays per year • Paid training • Referral program • Vision insurance • Bonus • Referral bonuses