AWS Cloud Data Engineer

Webtellect, LLC

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Seattle, WA, us remote Until 8/21/2026 First posted March 27, 2025 Last posted March 27, 2025
Job description

Webtellect is an established software consulting firm.  We are equivalent to the finest "custom home builders" as it applies to software.  We build software for those companies who have funding but not the resources or for those companies who have the resources but not bandwidth.  We analyze, design, develop, test, deploy, maintain, and learn from our engagements to improve for the next.  We all share a passion and joy for software excellence.  As such, Webtellect consultants are highly coveted.

To design, development, and enhancement of our AWS data environment.

  • Experience setting up AWS Data Platform – AWS CloudFormation, DevelopmentEndPoints, AWS Glue, EMR and Jupyter/Sagemaker Notebooks, Redshift, S3, and EC2 instances. 
  • Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors.
  • Must have a background in data engineering – Data Warehouse Development experience would be perfect
  • Must have strong skills in SQL, Python, PySpark, and AWS
  • Experience in designing, developing, optimizing and troubleshooting complex Data Pipelines using Spark cluster
  • Ability to lead proofs-of-concepts and then effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
  • Serve as an expert; envision and integrate emerging data technologies, anticipate new trends to solve complex business and technical problems.

Notes:

  • 6 month contract.
  • ** No 3rd parties. **
  • ** No Visas allowed **

 

About this role

Summary

Design, develop, and optimize AWS data environments and pipelines at scale.

Job title

AWS Cloud Data Engineer

Experience level

not specified

Industry

software

Location requirements

Seattle, WA, US; on-site preferred, remote not specified

Salary

Not specified

Management role

No

Skills & keywords

Required skills

AWS CloudFormationAWS GlueEMRJupyterSagemakerRedshiftS3EC2SQLPythonPySpark

Preferred skills

data warehousedata pipelinesscalabilitytroubleshootingproof-of-concept

Specializations

AWSdata engineeringdata lakeSQLPython
Locations

Structured locations inferred from the posting.

Seattle, WA, USA

On-site City