QA Data Engineer jobs in United States
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RIT Solutions, Inc. ยท 3 months ago

QA Data Engineer

RIT Solutions, Inc. is seeking a highly skilled Quality Assurance (QA) Data Engineer to join their Enterprise Data Platform (EDP) Delivery teams. This role involves developing and implementing test strategies, ensuring data accuracy and integrity, and optimizing data pipelines within the Google Cloud Platform (GCP) ecosystem.

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Responsibilities

Partner with Data Engineers, Analysts, and business stakeholders to define quality requirements
Document test cases, data validation rules, and best practices for scalable data governance
Develop and implement test cases for ETL/ELT pipelines, data transformation, and ingestion processes
Perform data validation, execute test cases (manual or automated) and analyze results. Regression testing ensures sufficient error validation is present. Reconcile variances and data anomalies to ensure high-quality data
Validate data transformations and ingestion processes for structured and unstructured data
Monitor and troubleshoot data issues, failures, and inconsistencies across the pipeline
Provide support for root cause analysis and resolution of data-related defects, including the identification of code changes
Document and track defects, providing detailed reports to development teams for resolution
Participate in the design and implementation of automated testing scripts to improve testing efficiency
Conduct regression testing to ensure that new code changes do not adversely affect existing functionality
Perform post-release and post-implementation validation of software performance in production environments
Continuously monitor and evaluate the quality of software deliverables, providing feedback for improvement opportunities
Collaborate with end users to gather feedback

Qualification

Advanced SQLGCP data servicesData validation frameworksAutomated testing frameworksETL/ELT processesData engineering experiencePythonRetail Data integrationAnalytical skillsAgile methodologiesAttention to detailEffective communicationProject management

Required

3-5+ years of experience in data engineering, data testing, or quality assurance
Strong proficiency in advanced SQL, and data validation frameworks. (test strategies)
Familiarity with GCP data services (BigQuery, Dataflow, Dataproc, Cloud Storage) and Python
Familiarity with automated testing frameworks for data (e.g., Great Expectations, dbt tests)
Able to be hands-on with data and create test cases for stated requirements
Experience working with and integrating Retail Data
Strong understanding of software development and testing methodologies
Excellent analytical and problem-solving skills
Attention to detail and ability to document defects accurately
Highly collaborative. Effectively works with cross-functional teams for the support and performance of the EDP and packaged applications
Strong understanding of project management methodologies, including Agile and Waterfall
Effective communication skills, both written and verbal, to collaborate with cross-functional teams
Familiarity with programming languages (e.g., Java, Python) and scripting for automated testing
Ability to work independently and manage multiple tasks simultaneously
GCP or other relevant certification in software testing

Preferred

Familiarity with LL Bean data and business process
Understanding data concepts, including storage, retrieval and analysis
An understanding of ETL/ELT processes, data modeling, and schema design

Company

RIT Solutions, Inc.

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H1B Sponsorship

RIT Solutions, Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (2)

Funding

Current Stage
Growth Stage
Company data provided by crunchbase