Qualis1 Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (AWS Data Solutions Lead) in Seattle, WA, for 12 months with a pay rate of "TBD." Requires strong AWS data engineering, ETL, and data lake architecture skills. Must be a US citizen or Green Card holder.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
April 2, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Data Lake #Data Modeling #Scala #Security #Data Science #Cloud #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Data Engineering #Redshift #Data Pipeline #Data Architecture #Data Processing #Monitoring #Data Governance #Python #SQL (Structured Query Language) #S3 (Amazon Simple Storage Service) #DevOps #Lambda (AWS Lambda)
Role description
🚨 Hiring: AWS Data Solutions Lead (Onsite – Seattle, WA)
📍 Location: Seattle, WA (100% Onsite)
⏳ Duration: 12 Months (Extension Possible)
⚠️ MUST BE US Citizen or Green Card
⚠️ Only Open to W2 Employees (No C2C / No 1099)
We are looking for an AWS Data Solutions Lead to design and implement scalable cloud-based data solutions. This role requires strong expertise in AWS data engineering, ETL pipelines, and data lake architecture to support enterprise data-driven initiatives.
🔹 Key Responsibilities:
• Design and implement scalable data solutions on AWS
• Build and optimize data pipelines and ETL workflows
• Develop and manage cloud-based data lakes
• Ensure data availability, reliability, and security
• Collaborate with data scientists, analysts, and stakeholders
• Optimize data architecture for performance and scalability
• Implement best practices for data governance and monitoring
• Troubleshoot complex data engineering issues
🔹 Required Skills:
✔ Strong AWS data engineering experience
✔ Expertise in building data pipelines and ETL processes
✔ Experience designing data lakes on AWS
✔ Knowledge of distributed data processing frameworks
✔ Strong SQL and data modeling skills
✔ Experience with cloud-based data architectures
✔ Ability to work with cross-functional teams
🔹 Preferred Skills:
✔ AWS services such as S3, Glue, Redshift, Lambda, EMR
✔ Python or Scala for data engineering
✔ Experience with streaming data solutions
✔ CI/CD and DevOps practices for data platforms
🚨 Hiring: AWS Data Solutions Lead (Onsite – Seattle, WA)
📍 Location: Seattle, WA (100% Onsite)
⏳ Duration: 12 Months (Extension Possible)
⚠️ MUST BE US Citizen or Green Card
⚠️ Only Open to W2 Employees (No C2C / No 1099)
We are looking for an AWS Data Solutions Lead to design and implement scalable cloud-based data solutions. This role requires strong expertise in AWS data engineering, ETL pipelines, and data lake architecture to support enterprise data-driven initiatives.
🔹 Key Responsibilities:
• Design and implement scalable data solutions on AWS
• Build and optimize data pipelines and ETL workflows
• Develop and manage cloud-based data lakes
• Ensure data availability, reliability, and security
• Collaborate with data scientists, analysts, and stakeholders
• Optimize data architecture for performance and scalability
• Implement best practices for data governance and monitoring
• Troubleshoot complex data engineering issues
🔹 Required Skills:
✔ Strong AWS data engineering experience
✔ Expertise in building data pipelines and ETL processes
✔ Experience designing data lakes on AWS
✔ Knowledge of distributed data processing frameworks
✔ Strong SQL and data modeling skills
✔ Experience with cloud-based data architectures
✔ Ability to work with cross-functional teams
🔹 Preferred Skills:
✔ AWS services such as S3, Glue, Redshift, Lambda, EMR
✔ Python or Scala for data engineering
✔ Experience with streaming data solutions
✔ CI/CD and DevOps practices for data platforms
