Senior Data Engineer: AI-Driven Platform & RMS

Fusion Worldwide; United States; On-site; USD 140,000 - 220,000; Full time

Job summary

Fusion Worldwide is building a production data platform to support its global electronic components marketplace. This role sits on the core data platform team, focusing on backend data engineering, API design, and agent-driven automations.

You'll work with Databricks, SQL Server, PySpark, and dbt to deliver scalable pipelines, governance, and performance. The job emphasizes reliability, explainability, and collaboration across engineering and product teams.

Qualifications

• Experience with production data platforms and data pipelines.
• Expert SQL and relational DB knowledge (SQL Server, PostgreSQL, Oracle, MySQL).
• Proficiency in Python and PySpark for data processing.
• Experience designing APIs and working with UI data needs.
• Strong CI/CD, Git, and code review practices.

Responsibilities

• Build and maintain data pipelines and RMS write-back paths.
• Develop APIs for UI consumption and ensure performance.
• Lead data governance, lineage, and versioned parameters.
• Collaborate across backend, data engineering, and product teams.
• Support incident response for data pipelines and writes.

Skills

Production data platform

SQL

Python

PySpark

API design

Data governance

CI/CD

Git

Communication

Tools

Databricks

Snowflake

Spark

dbt

Azure SQL

Job description

Fusion Worldwide is building a production data platform to support its global electronic components marketplace. This role sits on the core data platform team, focusing on backend data engineering, API design, and agent-driven automations.

You'll work with Databricks, SQL Server, PySpark, and dbt to deliver scalable pipelines, governance, and performance. The job emphasizes reliability, explainability, and collaboration across engineering and product teams.