

AWS Big Data Engineer (Need Local to NY/NJ)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Big Data Engineer, located 100% onsite in NYC, with a long-term contract. Key skills include Spark, AWS data ecosystem, SQL, Python or Scala, and data pipeline management.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 16, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Charlotte, NC
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π§ - Skills detailed
#Data Lake #Redshift #S3 (Amazon Simple Storage Service) #Scala #AWS (Amazon Web Services) #Spark (Apache Spark) #Python #Data Engineering #Data Pipeline #AI (Artificial Intelligence) #SQL Queries #Big Data #SQL (Structured Query Language) #Lambda (AWS Lambda) #Monitoring
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, E-Solutions, Inc., is seeking the following. Apply via Dice today!
Job Title: AWS Big Data Engineer
Location: NYC 100% onsite
Duration: Long term
Job Description:
β’ Spark hands on with optimization and troubleshooting
β’ Proficiency with the AWS data ecosystem (EMR, S3, Glue, Lambda, Redshift, etc.).
β’ Ability to write and optimize complex SQL queries
β’ Well versed with either Python or Scala
β’ Ability to develop and manage data pipelines
β’ good understanding of data warehousing and data lake concept
β’ Monitoring services and capabilities
AI Engineer1AI EngineerN/AC2C,W-2,1099,C2H,Part Time,Full Time,Other,Intern,Pass Through,Contract,SOLUTIONS,Hourly,Contract to Perm,W2,Full Time - Profit Sharing,Sub-con,PermanentUnited States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, E-Solutions, Inc., is seeking the following. Apply via Dice today!
Job Title: AWS Big Data Engineer
Location: NYC 100% onsite
Duration: Long term
Job Description:
β’ Spark hands on with optimization and troubleshooting
β’ Proficiency with the AWS data ecosystem (EMR, S3, Glue, Lambda, Redshift, etc.).
β’ Ability to write and optimize complex SQL queries
β’ Well versed with either Python or Scala
β’ Ability to develop and manage data pipelines
β’ good understanding of data warehousing and data lake concept
β’ Monitoring services and capabilities
AI Engineer1AI EngineerN/AC2C,W-2,1099,C2H,Part Time,Full Time,Other,Intern,Pass Through,Contract,SOLUTIONS,Hourly,Contract to Perm,W2,Full Time - Profit Sharing,Sub-con,PermanentUnited States