

CloudIngest
AWS Data Engineer (W2 Only) (Any Visa Expect H1B)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with 7+ years of experience, offering a long-term contract at $45/hr on W2, located onsite in Pennsylvania. Key skills include AWS services, Python, SQL, and experience in financial services is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
360
-
🗓️ - Date
June 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Philadelphia, PA
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🧠 - Skills detailed
#Programming #Data Migration #Spark (Apache Spark) #AWS Glue #Apache Spark #Data Engineering #AWS (Amazon Web Services) #DMS (Data Migration Service) #Data Pipeline #Migration #Data Processing #Python #Cloud #PySpark #Data Storage #AWS IAM (AWS Identity and Access Management) #Storage #AWS DMS (AWS Database Migration Service) #SQL (Structured Query Language) #Database Migration #IAM (Identity and Access Management) #S3 (Amazon Simple Storage Service) #Lambda (AWS Lambda) #AWS Lambda #"ETL (Extract #Transform #Load)" #Scala
Role description
Visa: Any (Except H1B) (W2 Only)
OPT and Any EAD's are Most Welcome
Please share Relevant profiles to Srikanth@cloudingest.com
AWS Data Engineer
Location: Pennsylvania (Onsite)
Duration: Long-Term Contract
Experience Required: 7+ Years
Rate: $45/hr on W2 Max..!
Job Overview
We are seeking an experienced AWS Data Engineer to support a leading financial services organization. The ideal candidate will have strong expertise in designing, developing, and optimizing cloud-based data pipelines and ETL/ELT solutions using AWS services. This role requires hands-on experience with AWS data engineering tools, Python programming, and large-scale data processing frameworks.
Key Responsibilities
• Design, develop, and maintain scalable data pipelines on AWS.
• Build and optimize ETL/ELT workflows using AWS Glue, Python, PySpark, and Spark.
• Develop serverless data processing solutions using AWS Lambda, EventBridge, and Step Functions.
• Perform data migration and integration activities using AWS DMS and AWS DataSync.
• Manage and optimize data storage solutions using Amazon S3.
• Implement secure access controls and governance using AWS IAM.
• Monitor, troubleshoot, and improve data processing performance and reliability.
• Collaborate with business stakeholders, architects, and development teams to deliver data-driven solutions.
Required Skills
• AWS Cloud Services
• Python
• SQL
• PySpark / Apache Spark
• AWS Glue
• AWS Lambda
• AWS Step Functions
• AWS EventBridge
• AWS DMS (Database Migration Service)
• AWS DataSync
• Amazon S3
• AWS IAM
Preferred Qualifications
• 7+ years of Data Engineering experience.
• Strong hands-on experience with AWS-based data platforms.
• Expertise in Python and SQL development.
• Experience building large-scale distributed data processing solutions using Spark/PySpark.
• Financial Services or Banking domain experience is highly preferred.
• Strong problem-solving and communication skills.
Visa: Any (Except H1B) (W2 Only)
OPT and Any EAD's are Most Welcome
Please share Relevant profiles to Srikanth@cloudingest.com
AWS Data Engineer
Location: Pennsylvania (Onsite)
Duration: Long-Term Contract
Experience Required: 7+ Years
Rate: $45/hr on W2 Max..!
Job Overview
We are seeking an experienced AWS Data Engineer to support a leading financial services organization. The ideal candidate will have strong expertise in designing, developing, and optimizing cloud-based data pipelines and ETL/ELT solutions using AWS services. This role requires hands-on experience with AWS data engineering tools, Python programming, and large-scale data processing frameworks.
Key Responsibilities
• Design, develop, and maintain scalable data pipelines on AWS.
• Build and optimize ETL/ELT workflows using AWS Glue, Python, PySpark, and Spark.
• Develop serverless data processing solutions using AWS Lambda, EventBridge, and Step Functions.
• Perform data migration and integration activities using AWS DMS and AWS DataSync.
• Manage and optimize data storage solutions using Amazon S3.
• Implement secure access controls and governance using AWS IAM.
• Monitor, troubleshoot, and improve data processing performance and reliability.
• Collaborate with business stakeholders, architects, and development teams to deliver data-driven solutions.
Required Skills
• AWS Cloud Services
• Python
• SQL
• PySpark / Apache Spark
• AWS Glue
• AWS Lambda
• AWS Step Functions
• AWS EventBridge
• AWS DMS (Database Migration Service)
• AWS DataSync
• Amazon S3
• AWS IAM
Preferred Qualifications
• 7+ years of Data Engineering experience.
• Strong hands-on experience with AWS-based data platforms.
• Expertise in Python and SQL development.
• Experience building large-scale distributed data processing solutions using Spark/PySpark.
• Financial Services or Banking domain experience is highly preferred.
• Strong problem-solving and communication skills.





