Lead Data Systems Engineer — Remote AI-Driven

Bravo17 Digital

Chicago (IL)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Health and welfare benefits
Flexible ways of working
Generous time off policies

Job summary

Bravo17 LLC is seeking a Lead Systems Engineer - Data to elevate data-driven decision-making for federal clients. You will define data architectures, integrate AI/ML into workflows, and translate complex datasets into usable products that support mission outcomes.

The role requires 7–10 years in data analysis or engineering, leadership experience, and strong cloud/API skills. You will mentor teams and collaborate with product managers to deliver secure, scalable data solutions.

Qualifications

  • Minimum of 7–10 years of practical experience in data analysis or data engineering.
  • Proven track record of technical leadership in data-intensive projects.
  • Experience with AI-integrated data modeling and cloud solutions.

Responsibilities

  • Define and maintain data architecture standards for modeling and AI integration.
  • Architect and implement secure, high-performance data pipelines.
  • Lead collaboration with product managers and engineers on data-driven features.
  • Mentor junior analysts and engineers on AI-driven data tooling.
  • Conduct peer reviews to ensure data accuracy and code quality.

Skills

Data engineering
AI/ML integration
Data modeling
Cloud computing
REST APIs
Microservices
Team leadership
Communication

Education

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field

Job description

Bravo17 LLC is seeking a Lead Systems Engineer - Data to elevate data-driven decision-making for federal clients. You will define data architectures, integrate AI/ML into workflows, and translate complex datasets into usable products that support mission outcomes.

The role requires 7–10 years in data analysis or engineering, leadership experience, and strong cloud/API skills. You will mentor teams and collaborate with product managers to deliver secure, scalable data solutions.

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