Engineer • cambridge ma
Job Title: Data Engineer - AI Platform.Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC.We are hiring a skilled Data Engineer to contribute to the development of a sophi... Show more
In this role, you will design, build, and operate cloud-native services that power core components of the platform.You will work closely with product, data, and infrastructure teams to deliver reli... Show more
Duration : 3+ Months Contract (Hours: M-F 8-5PM).Resource's typical working day:.Have assigned 20 or so different client location.Schedule one of those for the day;.Go to the clinic spend the day d... Show more
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The company is seeking an experienced.In this role, you will be responsible for ensuring the reliable execution of operational workflows that support our financial data platforms and services.The i... Show more
A well-established, growing engineering firm, with a location in the area, is looking for a Professional Civil Engineer.They work hard to ensure projects are planned, designed, and managed to meet ... Show more
Nanobiosym is on the cusp of rewriting the rules of personalized medicine, novel technologies, and healthcare delivery.Founded by a renowned MIT and Harvard trained Physician and Physicist, Nanobio... Show more
Generate, execute, review, finalize, and approve validation/qualification protocols and reports.Manage and update project validation plans for specific projects.Assist and deliver amendments to the... Show more
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Xico Lighting is a rapidly growing manufacturer of spec-grade architectural lighting, driven by precision, performance, and design excellence.As we expand our in-house manufacturing and engineering... Show more
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As a key member of the Manufacturing Sciences Downstream Laboratory group, the Downstream Engineer will be responsible for providing technical support of processes for commercial and late-stage cli... Show more
From building digital engineering tools that make space exploration safer to verifying cryptographic libraries that protect some of the world’s most valuable data, Galois develops technology to gua... Show more
This positions is responsible for providing preventative maintenance for all areas of the hotel, and maintaining the physical appearance of the property.The primary responsibilities for the Enginee... Show more
Regional Purchasing Manager .The Purchasing Engineer is responsible for assisting in the hiring of subcontractors and vendors for specific Consigli Construction proje... Show more
The average salary range is between $ 88,012 and $ 174,141 year , with the average salary hovering around $ 124,802 year .
The average salary range is between $ 78,157 and $ 150,000 year , with the average salary hovering around $ 104,999 year .
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)
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.
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 GCP 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
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
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
Strong proficiency in Python for data engineering and pipeline development
Hands-on experience with AWS-based data engineering (experience with Azure or GCP 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
