

Python PySpark/ Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python PySpark/Data Engineer with 12+ years of IT experience, including 8+ years in AWS cloud data engineering. Financial domain experience is mandatory. Contract length is 12 months, with a pay rate of "unknown," and requires onsite work in Columbus, OH or Jersey City, NJ.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 24, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Columbus, OH
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π§ - Skills detailed
#Spark (Apache Spark) #SQL (Structured Query Language) #Data Lake #Python #S3 (Amazon Simple Storage Service) #Redshift #Databricks #Data Pipeline #Cloud #Batch #Scala #Data Engineering #Lambda (AWS Lambda) #Programming #AWS (Amazon Web Services) #PySpark
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ryantech, is seeking the following. Apply via Dice today!
Python PySpark/ Data Engineer Columbus, OH and Jersey City, NJ 5 days onsite role 12 Months Contract
Summary:
We are seeking a Senior Data Engineer with a strong foundation in Python, PySpark, Databricks, and AWS cloud data engineering. The candidate must have at least 12 years of IT experience, with 8+ years specifically designing and implementing scalable data pipelines in cloud ecosystems, preferably AWS. Financial domain experience is mandatory, and preference will be given to candidates from well-known universities. This is a 100% onsite position at Columbus, OH or Jersey City, NJ, for a long-term engagement.
Must-Have Skills
β’ 12+ years of overall experience in IT/Data Engineering
β’ 8+ years of hands-on experience in building data pipelines on cloud (preferably AWS)
β’ 7+ years with AWS services like S3, Lambda, Glue, Redshift, EMR
β’ Strong Python programming and OOP skills
β’ 6+ years of working experience with PySpark/Spark (batch & streaming)
β’ Strong SQL experience with ability to write complex, optimized queries
β’ Experience with Databricks (or other similar cloud data platforms)
β’ Familiarity with best practices for building and maintaining data lakes
β’ Financial domain experience is a must
β’ Strong academic background (Top universities preferred)