Lead Systems Engineer, Data

🕒 July 29

⛰️ Colorado, District of Columbia, +1 more states – Remote

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

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bravo17 Digital

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2023

BRAVO17 is a digital consultancy founded to do system design, development and optimization for federal agencies with a focus on superior, measurable UX outcomes for its 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.

🎯 Requirements

• 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.

🏖️ Benefits

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