Data Engineer: AI-Driven Data Pipelines & Integrations

Computationaldesign; Berkeley (CA); On-site; USD 111,000 - 166,000; Full time

Job summary

PBK in California is seeking a Data Engineer to design, build, and operate production data pipelines and integrations across Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric, ensuring reliability and governance.

You will model data, create curated datasets and Lakehouse structures to power BI, AI, and analytics, develop API-first data services, orchestrate workflows, and maintain observability, security, and data quality in partnership with IT, security, and

Qualifications

• 5+ years of experience designing, building, and operating production data pipelines and integrations.
• Strong SQL and PostgreSQL or similar relational databases.
• Proficiency in Python for data engineering and workflow development.
• Hands-on experience with Azure data services and Fabric.

Responsibilities

• Design, build, operate, and support ETL/ELT pipelines across enterprise systems.
• Implement data models, curated datasets, and Lakehouse/Warehouse structures.
• Develop API-first data services and integration workflows with REST, webhooks.
• Ensure data governance, security, and reliable data delivery with monitoring.

Skills

SQL

Python

REST APIs

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Services

Microsoft Fabric

dbt

Airflow

Power BI

Azure Data Factory

Job description

PBK in California is seeking a Data Engineer to design, build, and operate production data pipelines and integrations across Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric, ensuring reliability and governance.

You will model data, create curated datasets and Lakehouse structures to power BI, AI, and analytics, develop API-first data services, orchestrate workflows, and maintain observability, security, and data quality in partnership with IT, security, and