

Ideation Inc.
Databricks Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Engineer in Columbus, OH, with a contract length of over 6 months at up to $60.00 per hour. Key skills include Databricks, Python, and Spark. Experience in enterprise environments is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date
January 8, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Columbus, OH 43085
-
π§ - Skills detailed
#Azure #Spark (Apache Spark) #Data Modeling #"ETL (Extract #Transform #Load)" #Data Processing #Cloud #Python #Data Quality #SQL (Structured Query Language) #Data Engineering #GCP (Google Cloud Platform) #Data Pipeline #Consulting #Data Architecture #Databricks #Monitoring #Security #AWS (Amazon Web Services) #Compliance #Scala #Deployment #Datasets
Role description
Job Title: Data Engineer β Databricks & Python
Location: Columbus, OHWork Model: 5 Days Onsite
This is a W2 contract position
Job Description:Client is looking for a Data Engineer with strong experience in Databricks and Python to work on large-scale data platforms and analytics solutions. This role requires hands-on development and close collaboration with business and technology teams in a fully onsite environment.
Key Responsibilities:
Design, build, and maintain scalable data pipelines using Databricks and Python
Develop and optimize ETL/ELT processes for large, complex datasets
Work with structured and semi-structured data from multiple sources
Collaborate with data architects, analysts, and stakeholders to deliver data solutions
Ensure data quality, performance, and reliability across pipelines
Support production deployments, monitoring, and issue resolution
Follow best practices for data engineering, security, and compliance standards
Required Skills & Qualifications:
Strong experience as a Data Engineer
Hands-on expertise with Databricks
Strong Python development skills
Experience with Spark and distributed data processing
Solid understanding of data modeling and data warehousing concepts
Experience working in enterprise environments
Preferred Qualifications:
Experience with JPMC or other large financial institutions
Experience working with Deloitte or similar consulting firms
Knowledge of cloud platforms (AWS, Azure, or GCP)
Experience with SQL and performance tuning
Job Types: Full-time, Contract
Pay: Up to $60.00 per hour
Work Location: In person
Job Title: Data Engineer β Databricks & Python
Location: Columbus, OHWork Model: 5 Days Onsite
This is a W2 contract position
Job Description:Client is looking for a Data Engineer with strong experience in Databricks and Python to work on large-scale data platforms and analytics solutions. This role requires hands-on development and close collaboration with business and technology teams in a fully onsite environment.
Key Responsibilities:
Design, build, and maintain scalable data pipelines using Databricks and Python
Develop and optimize ETL/ELT processes for large, complex datasets
Work with structured and semi-structured data from multiple sources
Collaborate with data architects, analysts, and stakeholders to deliver data solutions
Ensure data quality, performance, and reliability across pipelines
Support production deployments, monitoring, and issue resolution
Follow best practices for data engineering, security, and compliance standards
Required Skills & Qualifications:
Strong experience as a Data Engineer
Hands-on expertise with Databricks
Strong Python development skills
Experience with Spark and distributed data processing
Solid understanding of data modeling and data warehousing concepts
Experience working in enterprise environments
Preferred Qualifications:
Experience with JPMC or other large financial institutions
Experience working with Deloitte or similar consulting firms
Knowledge of cloud platforms (AWS, Azure, or GCP)
Experience with SQL and performance tuning
Job Types: Full-time, Contract
Pay: Up to $60.00 per hour
Work Location: In person






