Data Engineer: AI-Ready Pipelines & Enterprise Integrations

PBK; Orlando (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

PBK's Architecture data team is seeking a Data Engineer to design, build, and operate production data pipelines that power analytics, reporting, and AI initiatives.

The role focuses on integrating Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric while ensuring data is reliable, governed, secure, and available for decision making across PBK's enterprise landscape.

Qualifications

• 5+ years designing, building, and operating production data pipelines
• Proven experience with enterprise data integrations across platforms
• Strong SQL skills and relational database experience
• Python for automation and workflow development
• Experience with Azure data services or cloud data platforms
• Understanding of data governance, security, and SDLC/CI/CD

Responsibilities

• Design, build, operate, and support ETL/ELT pipelines and integrations across enterprise systems
• Develop data models and curated datasets to support BI, AI, and ML use cases
• Build API-first data services and integration workflows
• Develop orchestration using Fabric Data Pipelines, Azure Data Factory, or dbt
• Implement event-driven patterns with modern messaging services
• Ensure data quality, governance, and secure data delivery

Skills

SQL

Python

Data modeling

ETL/ELT

API/data integration

CI/CD

Education

Bachelor's degree in CS/IS/Engineering

Tools

PostgreSQL

Azure Data Services

Microsoft Fabric

dbt

Airflow

Power BI

Job description

PBK's Architecture data team is seeking a Data Engineer to design, build, and operate production data pipelines that power analytics, reporting, and AI initiatives.

The role focuses on integrating Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric while ensuring data is reliable, governed, secure, and available for decision making across PBK's enterprise landscape.