Senior Test Data Engineer

LouisianaNOW.Jobs

. Design, develop, and execute test plans, test scenarios, and test cases for enterprise data platforms, ETL/ELT pipelines, and data integration solutions .

Posted 10/14/2026full-timeRemote • United StatesSenior💰 $62,900 - $139,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in ETL testing, data validation, and integration testing, with strong SQL skills for complex queries and a solid understanding of data quality concepts. Proficient in testing large-scale data platforms and utilizing tools such as Databricks, Apache Spark, and Azure Data Factory.

Highest-signal resume keywords

ETL TestingSQL SkillsDatabricksApache SparkData Quality Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL TestingData ValidationIntegration TestingRegression TestingComplex SQL QueriesData TransformationData MappingDefect ManagementTest ManagementAutomation Solutions

Soft Skills

Analytical SkillsTroubleshooting SkillsCommunication SkillsCollaboration Skills

Tools & Technologies

DatabricksApache SparkPySparkPythonAzure Data FactoryHadoopHDFSHiveControl-MUnix/Linux

Industry Keywords

AgileScrumData Integration SolutionsEnterprise Data PlatformsData Quality Testing

Tech Stack

Tools & technologies

ApacheAzureETLHadoopHDFSLinuxPySparkPythonSparkSQLUnix

About the role

Key responsibilities & impact

Design, develop, and execute test plans, test scenarios, and test cases for enterprise data platforms, ETL/ELT pipelines, and data integration solutions
Perform end-to-end ETL testing and validate data accuracy, completeness, transformation logic, reconciliation, and data quality across source and target systems
Develop and execute complex SQL queries for backend and data validation testing
Test large-scale data processing solutions using Databricks, Apache Spark, PySpark, Python, Hive, Hadoop/HDFS, and Azure Data Factory
Perform functional, integration, regression, system, and data quality testing across data pipelines and applications
Validate batch processing, job scheduling, dependencies, and workflow execution using Control-M and Unix/Linux environments
Identify, document, track, and retest defects while collaborating with developers, data engineers, business analysts, and other stakeholders through resolution
Develop and maintain reusable test scripts and automation solutions where applicable
Participate in Agile/Scrum activities including sprint planning, refinement, daily stand-ups, reviews, and retrospectives

Requirements

What you’ll need

8+ years of experience in software quality engineering/testing
Strong experience in ETL testing, data validation, integration testing, and regression testing
Strong hands-on SQL skills, including complex queries for source-to-target validation, reconciliation, and data quality testing
Experience testing large-scale data platforms and ETL/ELT pipelines
Hands-on experience with Databricks, Apache Spark, PySpark, Python, and Azure Data Factory (ADF)
Experience with Hadoop ecosystem technologies including Hadoop/HDFS and Hive
Experience with Unix/Linux environments and enterprise job scheduling tools such as Control-M
Strong understanding of data quality concepts, data transformations, data mappings, and source-to-target validation
Experience with defect management and test management processes within Agile/Scrum delivery environments
Strong analytical, troubleshooting, communication, and collaboration skills
Ability to successfully complete a background investigation for U.S. employment

Benefits

Comp & perks

Competitive compensation including profit participation program
Comprehensive medical, dental, and vision benefits
Basic life and accidental death & dismemberment insurance
Matching contributions through 401(k) plan
CGI share purchase plan
Paid accrued vacation leave, ranging from 10 to 20 days per year
10 paid holidays per year
At least 80 consecutive hours of paid sick/safe leave
Paid parental leave, ranging from 20 to 70 consecutive business days
Bereavement leave, ranging from 1 to 7 days per year
Paid jury duty leave, up to time summoned
Learning opportunities and tuition assistance
Wellness and Well being programs
Remote work flexibility
Hybrid work model offering flexibility
Employee resource groups and community initiatives