Senior Data Science Advisor

Jobtailor; Deutschland; Remote; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a highly experienced Data Engineer with AWS expertise to design and implement cloud-based data platforms supporting analytics and AI initiatives for defense-related projects.

The role emphasizes building scalable pipelines, ensuring data security (CUI/NIST/RMF), and delivering integrated solutions with DoD-aligned compliance. Citizenship and security clearance requirements apply.

Qualifikationen

• Bachelor’s, Master’s, or Doctorate with required years experience; or 12 years in lieu of a degree.
• Ability to obtain DoD Secret clearance; U.S. citizenship required.
• Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Hands-on experience designing scalable cloud-based data platforms on AWS.
• Experience with AWS data, analytics, AI, and machine learning services.

Aufgaben

• Design, develop, and integrate AWS data, analytics, AI, and machine learning services into client applications and mission systems.
• Analyze and document client database schemas, data flows, and data architectures to identify AI/ML integration and automation opportunities.
• Develop analytics and reporting dashboards using Amazon QuickSight.
• Leverage Amazon Bedrock to develop, integrate, and deploy LLM capabilities and generative AI solutions.
• Design, develop, and optimize ETL/ELT data pipelines using AWS Glue and related cloud services.
• Implement Amazon Macie and other AWS security capabilities to identify and protect PII and sensitive data.
• Use Amazon SageMaker to prepare, transform, and manage data for analytics and machine learning workflows.
• Implement and enforce CUI handling requirements, data protection measures, and applicable security controls.
• Apply data engineering, software development, and cloud architecture best practices to build scalable, reliable, and maintainable solutions.
• Support technical activities across the program and identify opportunities for continuous improvement, automation, innovation, and operational efficiency.
• Assess technical risks, develop solution alternatives, and communicate architectural decisions and recommendations to program and client leadership.
• Collaborate with software engineers, data scientists, system architects, cybersecurity professionals, and mission stakeholders to deliver integrated solutions.

Kenntnisse

AWS Cloud Services

Data Engineering

Machine Learning

Python Programming

Data Architecture

Ausbildung

Bachelor’s degree with 8 years of relevant experience

Master’s degree with 6 years of relevant experience

Doctorate with 3 years of relevant experience

12 years of relevant experience in lieu of a degree

Tools

Amazon QuickSight

AWS Glue

Amazon SageMaker

Amazon Bedrock

Amazon Macie

Jobbeschreibung

• Design, develop, and integrate AWS data, analytics, AI, and machine learning services into client applications and mission systems
• Analyze and document client database schemas, data flows, and data architectures to identify AI/ML integration and automation opportunities
• Develop analytics and reporting dashboards using Amazon QuickSight
• Leverage Amazon Bedrock to develop, integrate, and deploy LLM capabilities and generative AI solutions
• Design, develop, and optimize ETL/ELT data pipelines using AWS Glue and related cloud services
• Implement Amazon Macie and other AWS security capabilities to identify and protect PII and sensitive data
• Use Amazon SageMaker to prepare, transform, and manage data for analytics and machine learning workflows
• Implement and enforce CUI handling requirements, data protection measures, and applicable security controls
• Apply data engineering, software development, and cloud architecture best practices to build scalable, reliable, and maintainable solutions
• Support technical activities across the program and identify opportunities for continuous improvement, automation, innovation, and operational efficiency
• Assess technical risks, develop solution alternatives, and communicate architectural decisions and recommendations to program and client leadership
• Collaborate with software engineers, data scientists, system architects, cybersecurity professionals, and mission stakeholders to deliver integrated solutions

Requirements

• Bachelor’s degree with 8 years of relevant experience; or Master’s degree with 6 years of relevant experience; or Doctorate with 3 years of relevant experience; or 12 years of relevant experience in lieu of a degree
• Ability to obtain and maintain a DoD Secret security clearance
• U.S. citizenship is required to obtain a security clearance
• Degree or professional experience in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related technical field
• Hands-on experience designing and implementing scalable cloud-based data platforms and solutions
• Experience with AWS cloud services, particularly data, analytics, AI, and machine learning services
• Programming experience with Python, SQL, Rust, or TypeScript
• Experience with database schema design, data modeling, and software engineering best practices
• Ability to independently learn new technologies, troubleshoot complex technical issues, and develop effective solutions
• Strong analytical, problem-solving, technical documentation, and communication skills
• Preferred: Experience with Amazon Bedrock, SageMaker, Glue, QuickSight, and Macie
• Preferred: Experience developing or integrating generative AI and LLM-based applications
• Preferred: Experience working with DoD, federal, or other highly regulated environments
• Preferred: Familiarity with CUI, NIST, RMF, and cloud security requirements
• Preferred: Experience designing secure, highly available, and scalable AWS architectures
• Preferred: AWS certifications such as AI Practitioner, Solutions Architect, Developer, Data Engineer, Machine Learning, or Generative AI Developer

Core Competencies

Demonstrates expertise in designing and implementing AWS data, analytics, AI, and machine learning solutions, with a strong focus on data engineering and cloud architecture best practices. Proficient in developing scalable data platforms and ensuring compliance with security requirements in regulated environments.

Highest-signal resume keywords

• AWS Cloud Services
• Data Engineering
• Machine Learning
• Python Programming
• Data Architecture

Hard Skills

• Data Modeling
• ETL/ELT Pipeline Development
• Database Schema Design
• Analytics Dashboard Development
• AI/ML Integration

Soft Skills

• Analytical Skills
• Problem-Solving
• Technical Documentation
• Communication Skills

Certifications & Qualifications

• AWS Certified AI Practitioner
• AWS Certified Solutions Architect
• AWS Certified Developer
• AWS Certified Data Engineer
• AWS Certified Machine Learning

Industry Keywords

• CUI Handling
• NIST
• RMF
• DoD
• Federal Compliance

Tools & Technologies

• Amazon QuickSight
• AWS Glue
• Amazon SageMaker
• Amazon Bedrock
• Amazon Macie