Senior Data Quality Engineer – Data Pipelines (AWS)

Hybrid in New York, NY, US • Posted 3 days ago • Updated 3 days ago
Contract W2
Contract Corp To Corp
1 Year
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Validation of data pipelines within an
  • AWS-based data lakehouse environment. This role will work closely with developers
  • DevOps
  • and data teams to ensure data integrity
  • reliability across CI/CD pipelines
  • cloud workflows.
  • AWS
  • CI/CD pipelines using CodeCommit
  • CodeBuild
  • and CodePipeline
  • AWS services including S3
  • Glue
  • and Athena

Summary

Senior Data Quality Engineer – Data Pipelines (AWS)

Introduction:

We are seeking a Senior Quality Engineer to own test planning and validation of data pipelines within an AWS-based data lakehouse environment. This role will work closely with developers, DevOps, and data teams to ensure data integrity and reliability across CI/CD pipelines and cloud workflows.

Responsibilities:

  • Own end-to-end test planning and execution for AWS-based data lakehouse pipelines and integrations
  • Design, develop, and maintain automated test scripts to validate data pipelines and support CI/CD workflows
  • Validate data workflows using AWS services including S3, Glue, and Athena
  • Independently support and troubleshoot CI/CD pipelines using CodeCommit, CodeBuild, and CodePipeline
  • Review build and deployment logs to identify failures and perform root cause analysis
  • Work with Terraform/Terrahub components within build pipelines (CodeBuild)
  • Perform functional, regression, and data validation testing across releases
  • Track, document, and drive defects through resolution in collaboration with development teams
  • Define test strategies, scope, and estimates for releases and test cycles
  • Collaborate with cross-functional teams to support UAT and production readiness
  • Communicate testing progress, risks, and results to stakeholders

Requirements:

Required Skills:

  • 14+ years overall experience in software quality, testing, and data pipeline validation
  • 5+ years in testing AWS-based data pipelines and cloud workflows
  • Experience working in Agile environments (Scrum or Kanban)
  • Familiarity with cloud-based and DevOps-driven development environments
  • Working knowledge of SQL and relational databases
  • Experience with software testing tools (e.g., Jira, qTest, ALM, Selenium)
  • Basic proficiency with Git version control (clone, commit, push, pull, branching)
  • Basic command-line proficiency (Linux, PowerShell, CMD)
  • Hands-on experience with AWS services: S3, Glue, Athena, CodeCommit, CodeBuild, CodePipeline
  • Experience with Terraform/Terrahub in CI/CD pipelines
  • Log analysis and troubleshooting in build/deployment pipelines

Preferred Skills:

  • Educational background in Computer Science, Engineering, Information Systems, or equivalent
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10122100
  • Position Id: 8971181
  • Posted 3 days ago
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