Lead Data Engineer

🕒 il y a 2 jours

☕ Washington – Distant

☕ Washington – Remote

💵 $173 077 - $179 863 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Logic20/20, Inc.

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2005

🏥 Santé

📦 Logistique

📣 Marketing

Healthcare • Logistics • Marketing

Logic20/20, Inc. est une société de conseil en affaires et technologies à forte valeur ajoutée, qui aide les organisations dans les secteurs des services publics, de l'énergie, des services financiers, du gouvernement, de la santé, des sciences de la vie et des technologies & communications à moderniser et améliorer leurs performances grâce à une stratégie et une transformation numériques. L'entreprise propose des services incluant la gestion de produits, de projets et du changement, la conformité, l'évaluation et la planification de solutions, la transformation agile, et des capacités complètes en intelligence artificielle et analytique - couvrant la stratégie de données, les plates-formes et l'ingénierie de données, et la visualisation de données - afin d'intégrer l'IA et la prise de décision basée sur les données dans les opérations, la planification du capital et la conformité.

Description

• Lead end-to-end design and development of data pipelines, notebooks, lakehouses, and warehouses in Microsoft Fabric • Orchestrate and implement scalable ETL/ELT pipelines integrating structured and unstructured data from multiple sources • Define and enforce data engineering best practices for data modeling, partitioning, performance tuning, and data quality • Own the CI/CD strategy for Fabric artifacts, including Azure DevOps integration, deployment pipelines, environment promotion, and automated deployment tests • Translate business requirements into technical designs with architects and analysts • Mentor data engineers, conduct code reviews, and enforce coding and security standards • Monitor and optimize pipeline performance, cost, and capacity utilization • Track the Microsoft Fabric roadmap and evaluate new features for adoption • Help clients scale data solutions, make data-driven decisions, and drive enterprise-level innovation • Collaborate with analysts, architects, technical project managers, and business stakeholders to deliver data solutions

🎯 Exigences

• 10–15 years of cloud data engineering experience, including hands-on Microsoft Fabric experience • 2+ years of experience leading technical delivery teams • Deep expertise in Microsoft Fabric Lakehouse, Warehouse, Data Factory, Notebooks, PySpark/Spark SQL, and Power BI integration • Advanced proficiency in Python, SQL, Spark/PySpark, data warehousing, dimensional modeling, and modern enterprise data platform architectures • Experience designing, building, and migrating cloud-based data platforms using Azure Data Factory, Synapse Pipelines, and related Azure technologies • Hands-on experience with CI/CD, DataOps, Git-based development, deployment automation, and Infrastructure as Code • Experience with Azure DevOps, GitHub Actions, Bicep, ARM, or Terraform • Strong understanding of data governance, security, RBAC, automated testing, and data quality validation frameworks • Excellent consulting, communication, and client-facing leadership skills • Preferred: undergraduate degree in technology or business • Preferred: Microsoft Certifications, including Fabric Data Engineer, Azure Fundamentals, or Azure Data Engineer Associate

🏖️ Avantages

• Performance-based bonuses and other incentives for eligible employees • Training, project opportunities, and mentorship • Supportive, globally connected work environment • Advanced tools and technology • Collaborative company culture