Data • boston 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
Mechanical Data Engineer (Mechanical + Data Engineering Required).We are an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)—an AI Copilot for design ...Show more
Bachelor's degree in Information Systems, Data Analytics, or equivalent experience.Minimum 3 years in GRC, data analytics, or process automation roles with experience integrating data sources.Profi...Show more
As a Data Processing Assistant, you will be responsible for inputting and maintaining accurate data records, including: input data accurately into company systems.Duties and responsibilities can ch...Show more
At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement...Show more
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Lead Market Data Systems Engineer, Technology Data & Data Access.The successful candidate will manage critical aspects of Market Data, Trader Voice, and Trading Core Infrastructure technologies and...Show more
ICON plc is a world-leading healthcare intelligence and clinical research organization.We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join u...Show more
The Data Architect defines, designs, and governs the organization’s data architecture to ensure data is integrated, secure, high quality, and aligned with business and clinical objectives.This role...Show more
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Let SynergisticIT Be the Launchpad to Your Tech Career.Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like.Google, Apple, PayPal, Visa, Western Union, Wells Fa...Show more
Data Administrator-Elementary School The Data Administrator is a member of the school’s administrative team and reports to the Business Manager, with the responsibility to manage the many and varie...Show more
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners...Show more
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Company Description The Ikigai platform unlocks the power of generative AI for tabular data.We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI ...Show more
Our client is a leader in the gaming space and looking for a Data Engineer to join their team.Implements complete data architectures, including appropriate data schemas, as well as additional compo...Show more
Ameriprise Financial is looking to add a Data Scientist Manager to the team! The individual in this role will play an integral role in supporting modeling and data analysis, campaign execution, and...Show more
The average salary range is between $ 83,256 and $ 174,133 year , with the average salary hovering around $ 124,530 year .
The average salary range is between $ 35,126 and $ 144,979 year , with the average salary hovering around $ 75,077 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
