AWS Databricks Data Engineer (Power BI and AI/BI)

Quick Facts

• Role: AWS Databricks Data Engineer (Power BI and AI/BI)
• Type: Contract
• Work style: Onsite in Cincinnati, OH (local candidates only)

Description

Build scalable data engineering solutions using Databricks on AWS, including ETL/ELT pipelines and backend database/data model development. Develop interactive dashboards using Databricks AI/BI capabilities and Power BI, while optimizing data processing for large datasets. Collaborate with business and technical teams to deliver analytics and reporting.

Responsibilities

• Design, develop, and maintain scalable Databricks-based data engineering solutions
• Build, optimize, and maintain ETL/ELT pipelines for ingestion, transformation, and processing
• Develop interactive dashboards using Databricks AI/BI Dashboards and Power BI
• Design, develop, and optimize databases, data models, SQL queries, and backend data solutions
• Integrate Databricks with AWS services to build secure, reliable, and scalable data platforms
• Improve data quality, query performance, and processing efficiency for large datasets
• Create data transformation workflows using SQL, Python, and PySpark
• Collaborate with business and technical teams to deliver analytics and reporting solutions

Requirements

• Strong experience in Databricks Engineering and Development
• Hands-on experience with Databricks AI/BI Dashboards
• Strong database development skills: SQL, data modeling, query optimization, and database performance tuning
• Experience with AWS cloud services for data engineering
• Experience developing dashboards and reports using Power BI
• Strong understanding of ETL/ELT pipelines, data integration, and data warehousing
• Experience with Python and/or PySpark

Benefits

• Contract opportunity focused on Databricks engineering, AI/BI dashboards, and Power BI