Sr. Data Engineer (Fullstack)

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Sr. Data Engineer (Fullstack)

Location: New York NY

Setting: Hybrid Role

Type: Fulltime Role (Permanent)

Position Summary:

Were hiring a Senior Full Stack Developer focused on Data Engineering to help build and scale a modern enterprise data platform supporting Portfolio Management Trading Risk Compliance Middle Office Operations and Finance. This is a new headcount on a globally distributed Data Platform Engineering team (NYC Mumbai) operating in a high delivery agile environment.

This role is hands-on and centered on building robust scalable pipelines designing multi-layered database structures with increasing refinement and delivering curated semantic data products that power reporting analytics and API-driven consumption - including enabling AI/agent workflows on top of trusted datasets.

Key Responsibilities

What were looking for (Must-haves):

Senior-level hands-on expertise building end-to-end data pipelines database structures semantic data products.
Strong Python and/or Java engineering skills in production environments.
Deep experience with cloud data platforms (Azure preferred) and modern warehousing (Snowflake strongly preferred).
Strong understanding of data flow architecture: ingestion transformation storage layers semantic layer consumption (BI APIs).
Front end experience (React)
Proven performance tuning skills across pipelines and warehouses:
query optimization clustering/partitioning strategies warehouse sizing Spark optimization caching patterns etc.
Experience supporting near real-time data needs at scale (millions of rows daily).
Strong communication skills and ability to collaborate in a globally distributed agile team.
Comfort operating in a high-expectation fast-paced environment with production ownership/on-call.
Asset management / financial data experience (front office operational/master/reference data exposure).

What Youll Do

Design and build scalable ingestion and transformation pipelines to acquire new critical data sources (near real-time where needed).
Build and optimize database structures across three layers of refinement (raw refined curated) to support complex reporting and analytics.
Develop curated data products and semantic models/metric definitions to enable broad self-serve BI and consistent consumption across teams.
Deliver data via APIs (REST and GraphQL) to enable end-user application data exchange and internal tooling.
Analyze and improve existing datasets and pipelines for: data quality pipeline performance brittle integrations & query performance and concurrency
Operate in a controlled SDLC environment with code reviews approvals change management validation and documentation.
Participate in production support / on-call rotation.

Nice-to-haves:

Strong experience building and deploying services using Kubernetes and Docker
Private Equity data experience.
BI enablement experience (semantic modeling for Tableau/Power BI/Sigma/Pyramid) or analytics engineering background.
Experience designing event-driven patterns and data products to support AI/agent workflows.

Job Title: Sr. Data Engineer (Fullstack) Location: New York NY Setting: Hybrid Role Type: Fulltime Role (Permanent) Position Summary: Were hiring a Senior Full Stack Developer focused on Data Engineering to help build and scale a modern enterprise data platform supporting Portfolio Management...