Senior Full Stack Developer (Data Engineering)

The role is 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. Develop curated data products and semantic models/metric definitions to enable broad self-serve BI and consistent consumption across teams.

About Eleven Recruiting 
We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for the best pay, diversity in tech, and the best job fit for every candidate we place. 

Our client, a leading investment firm, is seeking a Senior Full Stack Developer to join their team in New York, NY!

The role is 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. 

Responsibilities:

• 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.

Qualifications:

• Senior-level, hands-on expertise building end-to-end data pipelines, database structures, and 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).
• 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.

Pay Rate: $80.00 - $100.00