Data Engineer

Role: Data Engineer Demand

Location: Orlando, FL

Required Qualifications

Platform & Technology:

Microsoft Fabric experience (primary platform)

Lakehouse architecture and implementation

Spark Notebooks development

Schema design and management

File and folder structure management

Access permissions and security

Alternative Platform Experience (acceptable):

Databricks lakehouse engineering, OR

Other lakehouse platforms with transferable skills

Core Technical Skills:

Spark or PySpark programming experience (essential)

Data pipeline development and orchestration

Working with multi-source data integration (experience with 10+ source systems preferred)

Understanding of lakehouse file structures and data organization

Data engineering best practices for large-scale data platforms

Nice to have:

Understanding of customer interaction data and dimensional modeling concepts

Experience with customer data platforms or Customer 360 initiatives (nice to have)

Responsibilities

Develop and maintain data pipelines in Microsoft Fabric lakehouse environment

Write and optimize Spark notebooks for data processing and transformation

Manage lakehouse schemas, file structures, and data organization

Integrate data from multiple source systems into the Customer 360 platform

Collaborate with cross-functional teams across HR, enterprise, and operations domains

Ensure data quality, security, and access controls are properly implemented

Support ongoing technical operations for the Customer 360 initiative