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Closed on August 6, 2026.
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Data Engineer
Azure Databricks
Big Data
Bigdata
Data Architecture
Data Engineer
Data Governance
Data Integration
Data Lake
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Databricks
Databricks Workflows
ETL
Pyspark
Spark
SQL
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Job Description
Proteam Solutions is seeking a Senior Data Engineer to join onsite in Dublin, OH. This role focuses on designing, developing, and optimizing enterprise-scale data pipelines with Databricks, supporting analytics, reporting, and downstream applications. You will play a key part in building scalable Lakehouse architectures and ensuring reliable, high-quality data across critical data workflows. The position calls for deep Databricks expertise, strong data engineering fundamentals, and a collaborative approach with cross-functional teams.
Responsibilities
- Design and build scalable ETL and ELT pipelines using Databricks
- Develop PySpark and Spark SQL transformations
- Construct Bronze, Silver, and Gold data layers following the Medallion Architecture
- Implement Delta Live Tables, Workflows, and Unity Catalog
- Optimize Spark jobs for scalability and performance
- Design dimensional data models for analytical workloads
- Implement data quality validations and monitoring
- Collaborate with analytics, engineering, and architecture teams
- Build reusable frameworks and automation
- Support CI/CD deployment pipelines and Git-based development
Requirements
- 7–10+ years of Data Engineering experience
- Extensive hands-on Databricks experience
- Strong PySpark programming
- Advanced Spark SQL skills
- Experience with Delta Lake
- Experience implementing Medallion Architecture
- Hands-on Delta Live Tables
- Unity Catalog experience
- Strong SQL optimization and performance tuning
- Experience with AWS, Azure, or GCP
- CI/CD and Git experience
- Strong understanding of distributed data systems
- Experience designing enterprise data models
Technologies
- Databricks
- PySpark
- Spark SQL
- Delta Lake
- Medallion Architecture
- Delta Live Tables
- Unity Catalog
- AWS
- Azure
- GCP
- Git
- CI/CD
Preferred Qualifications
- Databricks certification
- Experience with streaming data
- Experience building reusable data frameworks
- Experience with enterprise governance
- Exposure to AI-assisted development tools including Databricks AI Genie
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