Newfire Global Partners
B2B • Artificial Intelligence • Fintech
Newfire Global Partners is an American IT services and advisory firm (founded in 2016 in Boston) that provides talent augmentation, software engineering, data & analytics, and AI/ML advisory to enterprise and investor clients. The company offers multidisciplinary engineering, product, and marketing teams, technical due diligence for VC/PE, data platform optimization, and an internal ML tool (Novel Heat) to improve code quality and Scrum velocity. Newfire operates across the Americas, Europe, and APAC with a 24x5 follow-the-sun delivery model and focuses on sectors such as digital healthcare, fintech, cybersecurity, and education technology.
501 - 1000 employees
Founded 2016
🤝 B2B
🤖 Artificial Intelligence
💳 Fintech
Data Engineer – Enterprise AI Focus
Job not on LinkedIn
October 23
Newfire Global Partners
B2B • Artificial Intelligence • Fintech
Newfire Global Partners is an American IT services and advisory firm (founded in 2016 in Boston) that provides talent augmentation, software engineering, data & analytics, and AI/ML advisory to enterprise and investor clients. The company offers multidisciplinary engineering, product, and marketing teams, technical due diligence for VC/PE, data platform optimization, and an internal ML tool (Novel Heat) to improve code quality and Scrum velocity. Newfire operates across the Americas, Europe, and APAC with a 24x5 follow-the-sun delivery model and focuses on sectors such as digital healthcare, fintech, cybersecurity, and education technology.
501 - 1000 employees
Founded 2016
🤝 B2B
🤖 Artificial Intelligence
💳 Fintech
📋 Description
• Design and build data pipelines that integrate diverse enterprise data sources for AI processing • Develop connectors and adapters for enterprise systems (CRM, ERP, document management, databases) • Implement data quality frameworks and validation systems for AI model inputs • Create secure data handling workflows that support global development teams • Build data transformation pipelines that prepare unstructured and structured data for AI models • Establish data governance and lineage tracking for compliance and audit requirements • Optimize data processing workflows for scale and performance • Collaborate with data scientists and AI engineers to ensure data meets model requirements
🎯 Requirements
• 3+ years experience with data engineering in enterprise environments • Strong proficiency in Python and SQL for data processing and transformation • Experience with ETL/ELT tools and data integration patterns • Knowledge of enterprise data standards and APIs (REST, GraphQL, SOAP) • Understanding of data privacy, security, and access control best practices • Experience with cloud platforms (AWS, Azure, GCP) and data infrastructure • Familiarity with containerization and orchestration tools • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
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