Lead Systems Engineer, Data

🕒 il y a 29 jours

⛰️ Colorado, District of Columbia, +1 états de plus – Distant

⛰️ Colorado – Remote 🏛️ District of Columbia – Remote 🌽 Illinois – Remote

⏰ Temps Plein

🟠 Senior

⚙️ Ingénieur Systèmes

👻 Score fantôme 12%

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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Bravo17 Digital

Site WebLinkedInTous les Emplois

2 - 10 employés

Fondée en 2023

BRAVO17 est un cabinet de conseil numérique fondé pour concevoir, développer et optimiser des systèmes pour les agences fédérales, avec un accent sur des résultats UX supérieurs et mesurables pour ses clients.

Description

• Define and maintain technical standards for data architecture, modeling, and AI integration to ensure consistency, quality, and maintainability across all projects. • Propose innovative solutions to enhance data processing, AI model performance, and analytical security. • Collaborate with project managers and stakeholders to bridge the gap between business needs and technical data implementation. • Develop comprehensive technical documentation, such as data models, schema designs, and AI pipeline specifications, to guide development and ensure team alignment. • Architect and implement secure, high-performance data pipelines and analytical services. • Integrate AI/ML models into data workflows, focusing on automated insight generation, predictive modeling, and the development of innovative user experiences. • Collaborate with cross-functional teams to define project requirements and technical specifications for data-intensive applications. • Mentor junior analysts and engineers, fostering capabilities in AI-driven data tooling and analytical best practices. • Conduct rigorous peer reviews to ensure code quality, data accuracy, and adherence to best practices. • Troubleshoot and debug complex issues across the full data lifecycle. • Effectively communicate complex analytical concepts to both technical and non-technical audiences. • Stay abreast of the latest trends in AI development, data engineering, and statistical modeling.

🎯 Exigences

• Minimum of 7–10 years of practical experience in data analysis or data engineering, with a proven track record of technical leadership. • Strong background in data-intensive applications, with a specific focus on AI-integrated data modeling and cloud computing solutions. • Thorough understanding of data service design patterns, including REST APIs, microservices, and modern data warehouse architectures. • Excellent communication, presentation, and interpersonal skills. • Demonstrated capability to lead technology projects, operate autonomously, or collaborate effectively within a team environment. • Strong analytical skills with business acumen and the ability to turn data into strategic insights. • A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field is preferred; however, deep experience can serve as a substitute.

🏖️ Avantages

• Competitive compensation • Health and welfare benefits • Flexible ways of working • Generous time off policies including vacation/PTO, sick leave, and parental leave.