AWS Data Engineer (VA & TX) [W2 Preferred]
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Richmond, VA, on a contract basis for 40 hours per week, paying $45.00 - $50.00 per hour. Key skills include Python, AWS, and PySpark, with preferred experience in the Banking domain.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date discovered
September 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Richmond, VA 23219
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🧠 - Skills detailed
#Programming #"ETL (Extract #Transform #Load)" #Data Pipeline #Scripting #Lambda (AWS Lambda) #Data Processing #Automation #Python #Big Data #Scala #Data Manipulation #Security #Data Science #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #Data Engineering #Data Quality #Spark (Apache Spark) #PySpark #Redshift #EC2
Role description
We are hiring for AWS Data Engineer for our client based in Richmond, VA.Job Details:Role: Data EngineerSkills Required: Python, AWS, PySparkOpenings: 10 positionsLocation: Richmond, VA, (Onsite)Client/Domain: Banking Domain.
Interview Process:Candidates must be available for in-person interviews at one of the following locations:McLean, VARichmond, VADallas, TX
Job Description:
We are seeking a skilled and motivated Data Engineer to join our team in Richmond, VA. The ideal candidate will have a strong background in building and maintaining data pipelines and be proficient in the following technologies:
Required Skills:
Python: Strong programming skills for data manipulation, scripting, and automation.
AWS: Experience with various AWS services (e.g., S3, EC2, Lambda, Glue, Redshift, etc.).
PySpark: Hands-on experience with PySpark for big data processing and ETL jobs.
Domain Knowledge: Previous experience working in the Banking or Financial Services domain is highly preferred.
Key Responsibilities:
Design, develop, and maintain scalable and efficient data pipelines.
Collaborate with data scientists and analysts to support their data needs.
Ensure data quality, reliability, and security.
Optimize data processing jobs for performance.
Job Type: Contract
Pay: $45.00 - $50.00 per hour
Expected hours: 40 per week
Application Question(s):
Are you comfortable for Walk-In Interview?
Experience:
AWS Data Engineer: 7 years (Preferred)
AWS: 5 years (Preferred)
Python: 8 years (Preferred)
Work Location: In person
We are hiring for AWS Data Engineer for our client based in Richmond, VA.Job Details:Role: Data EngineerSkills Required: Python, AWS, PySparkOpenings: 10 positionsLocation: Richmond, VA, (Onsite)Client/Domain: Banking Domain.
Interview Process:Candidates must be available for in-person interviews at one of the following locations:McLean, VARichmond, VADallas, TX
Job Description:
We are seeking a skilled and motivated Data Engineer to join our team in Richmond, VA. The ideal candidate will have a strong background in building and maintaining data pipelines and be proficient in the following technologies:
Required Skills:
Python: Strong programming skills for data manipulation, scripting, and automation.
AWS: Experience with various AWS services (e.g., S3, EC2, Lambda, Glue, Redshift, etc.).
PySpark: Hands-on experience with PySpark for big data processing and ETL jobs.
Domain Knowledge: Previous experience working in the Banking or Financial Services domain is highly preferred.
Key Responsibilities:
Design, develop, and maintain scalable and efficient data pipelines.
Collaborate with data scientists and analysts to support their data needs.
Ensure data quality, reliability, and security.
Optimize data processing jobs for performance.
Job Type: Contract
Pay: $45.00 - $50.00 per hour
Expected hours: 40 per week
Application Question(s):
Are you comfortable for Walk-In Interview?
Experience:
AWS Data Engineer: 7 years (Preferred)
AWS: 5 years (Preferred)
Python: 8 years (Preferred)
Work Location: In person
