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Data Engineer

Boston, MA, US • Posted 1 day ago • Updated 1 hour ago

Full Time

On-site

USD $165,000.00 - 175,000.00 per year

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Dice Job Match Score™

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Job Details

Skills

Recruiting
Testing
UI
User Experience
Continuous Integration
Continuous Delivery
GitHub
Optimization
Generative Artificial Intelligence (AI)
Scalability
Artificial Intelligence
Mentorship
Innovation
Security Clearance
FOCUS
Cloud Computing
Python
Amazon Web Services
Data Engineering
Microsoft Azure
Google Cloud Platform
Google Cloud
Data Modeling
Neo4j
Relational Databases
Writing
Docker
Workflow
Extract
Transform
Load
Performance Tuning
Analytical Skill
Problem Solving
Conflict Resolution
Effective Communication
Collaboration

Recruiting
Testing
UI
User Experience
Continuous Integration
Continuous Delivery
GitHub
Optimization
Generative Artificial Intelligence (AI)
Scalability
Artificial Intelligence
Mentorship
Innovation
Security Clearance
FOCUS
Cloud Computing
Python
Amazon Web Services
Data Engineering
Microsoft Azure
Google Cloud Platform
Google Cloud
Data Modeling
Neo4j
Relational Databases
Writing
Docker
Workflow
Extract
Transform
Load
Performance Tuning
Analytical Skill
Problem Solving
Conflict Resolution
Effective Communication
Collaboration

Summary

About the job Data Engineer

Job Title: Data Engineer - AI Platform

Location: Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC

Number of openings: 1

Experience: 5+ years of professional experience as a data engineer

Salary: $165,000 - $175,000

Clearance: Secret (prefer TS)

Position Summary

We are hiring a skilled Data Engineer to contribute to the development of a sophisticated AI-powered platform that supports advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge initiatives involving generative AI, large-scale data systems, and cloud-native architectures.

You will partner with a multidisciplinary team of engineers, data scientists, and product stakeholders to design and implement scalable data infrastructure. The primary focus will be enabling platform capabilities tailored for government and defense-related environments.

Key Responsibilities

Design and build robust data ingestion and processing pipelines to support AI and GenAI applications
Develop and maintain high-quality Python-based data workflows, including testing and validation
Collaborate with cross-functional teams including software engineers, data scientists, and UI/UX designers
Implement and enhance CI/CD pipelines (including GitHub Actions) to streamline deployment and integration processes
Work across multi-cloud environments (AWS primarily; exposure to Azure and Google Cloud Platform is beneficial)
Utilize containerization technologies (Docker) to support scalable and portable deployments
Contribute to the development and optimization of data systems used by generative AI applications
Ensure performance, reliability, and scalability of data pipelines through monitoring and diagnostics

What You'll Experience

Opportunity to work on high-impact AI platform initiatives
A fast-paced, performance-driven environment with strong technical mentorship
Continuous learning through structured development programs and real-world problem solving
A collaborative culture that values innovation, ownership, and diverse perspectives
Exposure to globally distributed teams and modern engineering practices
Competitive compensation along with a comprehensive benefits package

Required Qualifications

U.S. Citizenship is required
Prior experience supporting defense or government environments, including handling classified or sensitive data
Active Secret clearance required (Top Secret or higher preferred)
5+ years of experience in data engineering, with a strong focus on cloud-based solutions

Technical Skills & Expertise

Strong proficiency in Python for data engineering and pipeline development
Hands-on experience with AWS-based data engineering (experience with Azure or Google Cloud Platform is a plus)
Deep understanding of data modeling, data ingestion frameworks, and pipeline architecture
Experience working with knowledge graphs, particularly using Neo4j, and familiarity with relational databases
Expertise in writing clean, maintainable, and testable code, including automation and error handling best practices
Practical experience with Docker and containerized workflows
Strong background in data pipeline performance tuning, monitoring, and troubleshooting
Excellent analytical and problem-solving capabilities
Effective communication skills and ability to collaborate within cross-functional teams

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183454
Position Id: 14d526118956313b3c1550251db9d8e0
Posted 1 day ago

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