Senior Data Engineer — AI-Driven Data Platform

Fusion-Worldwide

United States

Remote

USD 150,000 - 210,000

Full time

2 days ago
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Job summary

Fusion Worldwide is building a federated data platform for trading and procurement optimization on a production AI-driven stack. The role focuses on backend data engineering, API contracts, and reliable agent-driven workflows with strong emphasis on data lineage and governance.

You will work on RMS write-backs, data quality, and scalable data models while collaborating with AI tooling and platform teams for production readiness.

Qualifications

  • Production data platform experience on platforms such as Databricks, Snowflake, Spark, or dbt.
  • 8+ years building software, weighted toward backend and data engineering.
  • Expert SQL and relational databases (SQL Server, PostgreSQL, Oracle, MySQL); reading execution plans and indexing.
  • Experience writing back into a system of record with transactional integrity.
  • API design for external UIs and applications.
  • End-to-end delivery from idea through POC to release.
  • Caching and performance engineering to optimize latency and throughput.
  • Git, code review, and CI/CD practices.
  • Data governance and security with audit requirements.
  • Production LLM systems and agent-based production workflows.
  • Day-to-day work with AI agents in production and handling failures.
  • Building auditable systems with versioned parameters and explainable outputs.
  • Clear written communication.

Responsibilities

  • Design APIs for UIs in Web RMS and maintain contracts and versioning.
  • Build custom applications and agent workflows based on the object model.
  • Maintain the agent setup, including instructions, tool connections, and checks.
  • Review agent outputs and fix issues in production environments.
  • Tuning performance across query plans, indexing, materialization, and caching.
  • Incident response for pipelines or write-backs in RMS.
  • Ensure data lineage and governance across systems.
  • Collaborate on data platform features used by trading floor applications.

Skills

Production data platform experience
Backend software engineering
Advanced SQL/relational databases
API design for external UIs
End-to-end delivery
Caching & performance engineering
Git, code review, CI/CD
Data governance and security
Production LLM systems
AI agent systems in production
Auditable lineage and versioned data
Clear written communication

Tools

Databricks
Snowflake
Spark
dbt
SQL Server
PostgreSQL
Oracle
MySQL
Git
CI/CD
Kafka
Claude

Job description

Fusion Worldwide is building a federated data platform for trading and procurement optimization on a production AI-driven stack. The role focuses on backend data engineering, API contracts, and reliable agent-driven workflows with strong emphasis on data lineage and governance.

You will work on RMS write-backs, data quality, and scalable data models while collaborating with AI tooling and platform teams for production readiness.

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