Top 102 Engineer big data python /java , databricks Jobs in Columbus

Data Engineer
Proteam Solutions —Dublin, OH
- Remote
- 7 years
- Azure
- SQL
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Application Deployment Leader
Hexion Inc. —Columbus, OH
- 18 years or older
- Computer Science
- Pass drug screening
Director of Data Governance
Northwest Bank —Columbus, OH
- Full-time
- Computer Science
- Office
- Bachelor's degree
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Cloud Engineer
KIK Consumer Products —United States
- $130,000 - $140,000 a year
- Full-time
- 5 years
- SharePoint
- Senior level
- Disability insurance
- Health insurance
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Data Engineer
Proteam Solutions —Dublin, OH
We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, develop, and optimize enterprise-scale data pipelines.
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Application Deployment Leader
Hexion Inc. —Columbus, OH
Release agentic applications aligned to target-state enterprise application architecture, reference patterns, technology standards, and design principles across…

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engineer big data python /java , databricks jobs near columbus

Data Engineer

Proteam Solutions -
Dublin, OH

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Job Details

Qualifications

Data model design
Commercial use (data warehousing systems)
Performance tuning
Databricks
Continuous Delivery (CD) implementation
Spark
System performance optimization
Git
Public Cloud
Schema design
SQL
Data Architecture Design (Architecture design skills)
Improving database performance
Distributed computing
DevOps automation
System tuning
Data performance optimization

Full Job Description

About the Role

We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, develop, and optimize enterprise-scale data pipelines. You'll play a key role in building scalable Lakehouse solutions while ensuring reliable, high-quality data for analytics, reporting, and downstream applications.

Key Responsibilities

Design and build scalable ETL/ELT pipelines using Databricks
Develop PySpark and Spark SQL transformations
Build Bronze, Silver, and Gold data layers using 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

Required Qualifications

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

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

#LI-WJ1
#PSI2

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