Micasa Global
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown" and a pay rate of "unknown". It requires expertise in Python, Spark/PySpark, AWS, and a minimum of 5 years' experience in software engineering, particularly within the financial services industry.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 3, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Columbus, OH
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🧠 - Skills detailed
#PySpark #Data Engineering #Security #Spark (Apache Spark) #AWS (Amazon Web Services) #Automation #Terraform #Cloud #Data Bricks #Python #Agile #Databricks #AI (Artificial Intelligence) #ML (Machine Learning)
Role description
Role:: Python Data Engineer
Location :: Columbus OH // Wilmington DE
Must: Python , Spark/Pyspark, AWS
Plus: Data Bricks, Terraform
AI/ML good to have
Required qualifications, capabilities, and skills
Formal training or certification on Software Engineering concepts and 5+ years applied experience
Hands-on with building AI agents and Machine learning
Hands-on practical experience delivering system design, application development, testing, and operational stability
Strong hands-on coding capabilities in languages / platforms such as PySpark / Python / Databricks
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
In-depth knowledge of the financial services industry and their IT systems
Role:: Python Data Engineer
Location :: Columbus OH // Wilmington DE
Must: Python , Spark/Pyspark, AWS
Plus: Data Bricks, Terraform
AI/ML good to have
Required qualifications, capabilities, and skills
Formal training or certification on Software Engineering concepts and 5+ years applied experience
Hands-on with building AI agents and Machine learning
Hands-on practical experience delivering system design, application development, testing, and operational stability
Strong hands-on coding capabilities in languages / platforms such as PySpark / Python / Databricks
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
In-depth knowledge of the financial services industry and their IT systems
