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W2-Seattle, WA (Onsite) :: AWS Data Engineer / Lead (Only G.C / U.S.C)

Jobs via Dice

Seattle · On-site Full-time Lead Today

About the role

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Bitsoft International, Inc., is seeking the following. Apply via Dice today!

AWS Data Engineer / Lead (Only G.C / U.S.C)

6+Months

Seattle, WA (Onsite) • *Key Skills:** • Amazon Web Services (AWS) Architecture & Operations • Strong Python Programming • Redshift Data Warehousing (Essential) • AWS Glue for ETL Automation • Data Querying using Athena • Serverless Computing with Lambda • *Role Responsibilities:**

You will be a core member of the cloud engineering team, providing hands-on expertise to design and optimize scalable data solutions on AWS for our enterprise partners. Your tasks will include architecting and managing AWS services such as EC2 instances, S3 buckets, relational and non-relational databases (RDS, DynamoDB), and secure VPC networking.

You will be responsible for automating workflows and data pipelines with AWS Glue and Lambda functions, creating robust data integration and analytics solutions. Ensure reliability, security, and compliance across all AWS resources. Support seamless migration of systems and structured/unstructured data from on-premise or legacy sources into the AWS platform. Troubleshoot cloud-based infrastructure and contribute to process improvements and documentation. • *Preferred Qualifications:** • Experience implementing infrastructure-as-code (IaC) with AWS tools (e.g., CloudFormation, CDK, or Terraform for AWS) • AWS Certified Data Analytics, Solution Architect, or Developer certification • Previous experience in large-scale, enterprise cloud migration projects • Familiarity with DevOps practices and CI/CD in cloud environments

Let me know if you want further specialization (e.g., for a financial services project, focus on real-time analytics, etc.) or want to adjust required skills!

Requirements

  • Amazon Web Services (AWS) Architecture & Operations
  • Strong Python Programming
  • Redshift Data Warehousing (Essential)
  • Experience implementing infrastructure-as-code (IaC) with AWS tools (e.g., CloudFormation, CDK, or Terraform for AWS)
  • AWS Certified Data Analytics, Solution Architect, or Developer certification
  • Previous experience in large-scale, enterprise cloud migration projects
  • Familiarity with DevOps practices and CI/CD in cloud environments
  • Let me know if you want further specialization (e.g., for a financial services project, focus on real-time analytics, etc.) or want to adjust required skills!

Responsibilities

  • AWS Glue for ETL Automation
  • Serverless Computing with Lambda
  • You will be a core member of the cloud engineering team, providing hands-on expertise to design and optimize scalable data solutions on AWS for our enterprise partners
  • Your tasks will include architecting and managing AWS services such as EC2 instances, S3 buckets, relational and non-relational databases (RDS, DynamoDB), and secure VPC networking
  • You will be responsible for automating workflows and data pipelines with AWS Glue and Lambda functions, creating robust data integration and analytics solutions
  • Ensure reliability, security, and compliance across all AWS resources
  • Support seamless migration of systems and structured/unstructured data from on-premise or legacy sources into the AWS platform
  • Troubleshoot cloud-based infrastructure and contribute to process improvements and documentation
  • *Preferred Qualifications:**

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