Data Engineer with Databricks || Cincinnati, OH - Hybrid || Contract - W2

Role : Data Engineer with Databricks AI/BI, Database, Power BI & AWS

Location: Cincinnati, OH (3 Days in Office)
Experience: 10+ Years Preferred
Employment Type: Contract

Rate: $45-50/Hr W2

Job Description :

We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks Engineering, AI/BI dashboard development, database technologies, and AWS cloud services.

The ideal candidate will be responsible for building scalable data pipelines, developing backend database solutions, optimizing data processing, and creating interactive dashboards using Databricks AI/BI capabilities and Power BI.

Key Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Databricks.
• Build, optimize, and maintain ETL/ELT pipelines for data 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.
• Work with large datasets to improve data quality, query performance, and processing efficiency.
• Develop data transformation workflows using SQL, Python, and PySpark.
• Collaborate with business and technical teams to deliver analytics and reporting solutions.

Required Skills :

• Strong experience in Databricks Engineering and Development.
• Hands-on experience with Databricks AI/BI Dashboards.
• Strong database development skills, including SQL, data modeling, query optimization, and database performance tuning.
• Experience with AWS cloud services and cloud-based 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.

Preferred Qualifications :

• Knowledge of Delta Lake and Lakehouse architecture.
• Experience integrating relational databases and cloud data sources.
• Understanding of data governance, data quality, and performance optimization.
• Ability to work independently and collaborate effectively in a remote environment.