Data Engineer

We’re looking for a hands-on Data Engineer Consultant to help design and build modern, scalable data solutions that power advanced analytics, AI/ML initiatives, and business-critical reporting. This is a highly collaborative role where you’ll work across the full data lifecycle - from ingestion and transformation to APIs and user-facing applications. You’ll join a fast-moving engineering environment that values clean architecture, strong engineering fundamentals, and thoughtful collaboration with data scientists, product partners, and business stakeholders. • Fully onsite in NYC • What You’ll Work On- • Develop and maintain end-to-end data pipelines and services that support AI/ML use cases and operational reporting • Contribute across the stack - data processing, backend services, and front-end integrations • Turn evolving business and technical needs into clear, scalable system designs • Build well-tested, production-grade software with strong attention to performance and reliability • Help shape engineering best practices, tooling decisions, and architecture as the platform grows What We’re Looking For- • 5+ years of experience in software or data engineering roles with strong full-stack exposure • Solid background building data-intensive applications using Python and modern databases • Experience with data warehousing, transformation tools (like dbt), and scalable data modeling • Proven ability to develop and deploy containerized services with strong testing practices • Familiarity with CI/CD pipelines, automated testing, and Agile development workflows • Degree in Computer Science, Engineering, or a related technical field Nice to Have- • Exposure to machine learning, LLMs, or agent-based workflows • Experience with search/analytics platforms like Elasticsearch • Strong knowledge of AWS services and cloud-native architecture • Front-end development experience with Angular or similar frameworks • Understanding of financial markets and asset classes is a plus