QA Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 2 Year(s)
No Travel Required
Unable to Provide Sponsorship

Skills

API
Agile
Analytical Skill
Analytics
Attention To Detail
Business Intelligence
Cloud Computing
Collaboration
Communication
Conflict Resolution
Continuous Improvement
Dashboard
Data Integrity
Data Mapping
Data Profiling
Data Validation
Data Warehouse
Database QA
Documentation
ELT
ETL QA
Effective Communication
Estimating
Extract, Transform, Load
Functional Testing
Innovation
JIRA
Meta-data Management
Problem Solving
Python
Quality Assurance
Regression Analysis
Root Cause Analysis
SQL
Soft Skills
Sprint
Systems Analysis/design
Test Cases
Test Estimation
Test Plans
Testing
User Stories

Job Details

Role: QA Engineer

Location: Bethesda, MD

Duration: Long Term

Note: Only on W2

 

Summary

A results-driven QA Engineer with strong expertise in data validation, ETL testing, data pipelines, and automation frameworks. Skilled in ensuring data accuracy, quality, performance, and reliability across analytics, data warehousing, and cloud environments. Works closely with Data Engineers, Analysts, and Product teams to develop robust testing strategies aligned with business requirements.

Key Responsibilities

·        Develop and execute test strategies, test plans, and test cases for data-driven applications.

·        Perform data validation and reconciliation across multiple systems, ensuring data integrity, completeness, and accuracy.

·        Conduct ETL / ELT pipeline testing including:

o   Source-to-Target data mapping verification

o   Schema and transformation validation

o   Data lineage and metadata analysis

·        Design automation solutions for API, data pipeline, and database testing using Python, PyTest, or similar frameworks.

·        Perform SQL queries for data profiling, validation, and troubleshooting.

·        Participate in Agile ceremonies (user stories refinement, sprint planning) and contribute to test effort estimation.

·        Conduct regression, smoke, and functional testing for dashboards, BI reports, and data-driven applications.

·        Conduct root cause analysis for data issues and partner with engineering teams to define fixes.

·        Maintain defect lifecycle in Jira or similar tools ensuring clear documentation and communication.

Soft Skills

·        Strong analytical and problem-solving abilities

·        Detail-oriented and data-driven mindset

·        Effective communication & documentation skills

·        Collaboration with cross-functional data teams

·        Continuous improvement and innovation mindset

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.

About Resource Innovative Technologies LLC