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# Full Stack Data Engineer, Front Office Investment Data & AI

- **Company:** Business Integration Partners (bip)
- **Location:** United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Big Data, Cloud Database, Computer Programming, Cursor, Database Design, Database Storage Structures, Programming Tools, Python (Programming Language), Software Architecture, Reference Data, Standard Sql, SQL Databases, TypeScript, Web Applications, Cloud Platform System, GitHub Copilot, ReactJS, Snowflake, Backend, Data Analytics, Azure AKS, Graphql, Front End Software Development, Claude, Data Pipelines
- **Published:** October 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/aee384f5-2546-4158-b457-adb47d707071/senior-full-stack-data-engineer-front-office-investment-data-ai

## About the Role

The ideal candidate brings deep experience with Python, SQL, React, APIs, cloud-based data platforms, and investment-management data, along with the ability to make architectural decisions, establish engineering patterns, review technical designs and code, and provide direction to other engineers., * 10+ years of professional software engineering experience, with significant hands-on experience across backend/data engineering and front-end development.
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 * Demonstrated experience as a Technical Lead, Lead Engineer, or Senior Engineer responsible for providing technical direction to other developers.
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 * Strong programming skills in Python, with experience building production-grade data pipelines, services, and applications.
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 * Strong experience developing modern web applications using React and JavaScript/TypeScript.
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 * Expert-level SQL skills with strong experience designing, querying, and optimizing relational and analytical database structures.
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 * Deep experience building complex data pipelines involving ingestion, transformation, validation, reconciliation, and delivery of large-scale datasets.
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 * Strong experience designing and developing REST and/or GraphQL APIs.
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 * Experience with cloud-based data environments and modern analytical warehouses; Azure, Snowflake, and Azure Kubernetes Service (AKS) is required.
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 * Strong understanding of the complete data lifecycle from source ingestion and transformation through storage, curated data products, APIs, applications, analytics, and AI consumption.
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 * Proven ability to make architectural and implementation decisions across data, backend, API, and front-end layers.
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 * Experience reviewing technical designs and code produced by other engineers and driving improvements in quality, performance, and maintainability.
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 * Experience leading complex engineering initiatives from requirements and architecture through implementation, testing, deployment, and production support.
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 * Significant experience within asset management, investment management, capital markets, or a similarly complex financial-data environment.
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 * Strong knowledge of front-office investment data domains including positions/holdings, transactions, pricing, market data, security master, reference data, account and portfolio data, and risk/analytics data.
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 * Ability to understand how investment data domains interact and how they support Portfolio Managers, Traders, Risk professionals, and investment analytics users.
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 * Strong experience using modern AI-assisted development tools such as Codex, Claude, Cursor, GitHub Copilot, or similar technologies.
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 * Strong communication skills with the ability to work directly with both engineering teams and front-office stakeholders.
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 * Ability to operate effectively in a high-expectation environment with significant ownership of production systems and delivery outcomes.
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## Description

This role combines full stack development, data engineering, technical architecture, and engineering leadership. The successful candidate will work across the complete data lifecycle-from source ingestion and transformation through database design, curated data products, APIs, and modern React-based user experiences.