

Mastech Digital
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with 12+ months duration, remote location, and a pay rate of "TBD." Requires 5+ years in AWS technologies (Redshift, S3), Python, SQL, data modeling, ETL development, and experience integrating SAP with external applications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 11, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Python #Big Data #Scrum #Amazon EMR (Amazon Elastic MapReduce) #AWS S3 (Amazon Simple Storage Service) #Redshift #Lambda (AWS Lambda) #Data Engineering #S3 (Amazon Simple Storage Service) #EC2 #"ETL (Extract #Transform #Load)" #AWS Glue #Data Lake #SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Pipeline #Data Modeling #Oracle #SAP
Role description
Job Title: AWS Data Engineer
Location: Remote (and ready to travel as needed by the client - Seattle, WA)
Duration: 12+ Months
Job Description:
• The ideal candidate will have deep expertise in design and implementation of integrating SAP with other external applications like Oracle / Homegrown applications through AWS S3 / Redshift. This role involves working closely with business & IT stakeholders, to gather requirements, bring forward the industry leading practices to the client, design, and implement solutions.
• 5+ years of experience working with business teams, understanding business requirements and translating those ambiguous requirements into technical solutions.
• 5+ years of experience with Advanced Python, SQL, data modeling, ETL development, and data warehousing.
• 5+ years of direct experience with AWS technologies:
• AWS Stack (Redshift and S3 mandatory. Preferred: EC2)
• Big Data Platforms (Amazon EMR, Data Lakes)
• Data Pipelines (AWS Glue, Serverless, Lambda, Step Functions)
• Languages: SQL / Python
• Experience in conducting design workshops, requirement gathering, configuration and testing
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Ability to participate in design discussions and propose solutions.
• Ability to participate in scrum calls and provide status updates.
Job Title: AWS Data Engineer
Location: Remote (and ready to travel as needed by the client - Seattle, WA)
Duration: 12+ Months
Job Description:
• The ideal candidate will have deep expertise in design and implementation of integrating SAP with other external applications like Oracle / Homegrown applications through AWS S3 / Redshift. This role involves working closely with business & IT stakeholders, to gather requirements, bring forward the industry leading practices to the client, design, and implement solutions.
• 5+ years of experience working with business teams, understanding business requirements and translating those ambiguous requirements into technical solutions.
• 5+ years of experience with Advanced Python, SQL, data modeling, ETL development, and data warehousing.
• 5+ years of direct experience with AWS technologies:
• AWS Stack (Redshift and S3 mandatory. Preferred: EC2)
• Big Data Platforms (Amazon EMR, Data Lakes)
• Data Pipelines (AWS Glue, Serverless, Lambda, Step Functions)
• Languages: SQL / Python
• Experience in conducting design workshops, requirement gathering, configuration and testing
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Ability to participate in design discussions and propose solutions.
• Ability to participate in scrum calls and provide status updates.






