Data Quality / ETL QA Engineer- Public Sector experience

Hybrid in Dallas, TX, US • Posted 8 hours ago • Updated 8 hours ago
Contract W2
Contract Corp To Corp
60 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Artificial Intelligence
  • Data Masking
  • Data Quality
  • Data Validation
  • ETL QA
  • Extract
  • Transform
  • Load
  • JIRA
  • Monte Carlo Method
  • Regression Testing
  • SQL
  • Snow Flake Schema
  • Testing

Summary

Job Title: Data Quality / ETL QA Engineer

Location: Dallas, TX (Onsite 4 Days, 1 Day Remote)

Role Summary

  • Test data pipelines, ETL, and data quality across data lakes/warehouses.

Key Responsibilities

  • Perform data quality testing.
  • Validate ETL processes and data pipelines.
  • Perform schema regression testing.
  • Validate data masking.
  • Execute SQL-based checks using Snowflake.

Required Skills

  • Strong SQL.
  • ETL/Data Testing.
  • Snowflake.
  • Data Validation.
  • Data Masking.
  • No AI/Synthetic-data tools.

Tools / Technology Stack

  • Snowflake.
  • Monte Carlo.
  • Jira.
  • SQL.

Experience Required

  • 5+ years of data/ETL testing experience.

Education / Certifications

  • Bachelor's degree in CS/IT/Data.
  • Must be CJIS clearable.
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: swapps
  • Position Id: 9013611
  • Posted 8 hours ago
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