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*

• 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

• 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

• 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