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Quality Assurance Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quality Assurance Data Engineer with a contract length of "unknown", offering a pay rate of "unknown", and requiring strong SQL and Python skills, along with experience in BigQuery, Dataflow, and retail data integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
360
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🗓️ - Date
October 16, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Regression #Dataflow #GCP (Google Cloud Platform) #Scala #Data Modeling #BigQuery #Cloud #Data Pipeline #Data Transformations #Python #Scripting #Jira #Automated Testing #Automation #Java #Data Accuracy #Data Engineering #"ETL (Extract #Transform #Load)" #SharePoint #Storage #Programming #SQL (Structured Query Language) #Quality Assurance #Agile #Project Management #dbt (data build tool) #Data Governance #Schema Design
Role description
T+S USC only DL and LinkedIn profile Candidates Must Have The Following • Again, super strong SQL skills • Strong Python skills • Key things: BigQuery, dataform, dataflow, need people that are strong in these areas • Need people who are good with the technical side of things (Writing frameworks) and taking QA process to the next elevated step • Retail experience QUALITY ASSURANCE DATA ENGINEER Experience Level: 5+ years Job Summary • We are seeking a highly skilled Quality Assurance (QA) Data Engineer to join our Enterprise Data Platform (EDP) Delivery teams. This role involves developing and implementing test strategies, ensuring data accuracy Application performance and integrity, and optimizing data pipelines within the Google Cloud Platform (GCP) ecosystem. The ideal candidate will have a strong background in data engineering, test automation, and cloud technologies, with expertise in SQL and general understanding of BigQuery and Dataflow. Familiarity with data and business process, along with proficiency using software management and collaboration tools such as Jira, Confluence, and SharePoint. Key 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. Qualifications & Skills • Must-Have: • 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. • Nice-to-Have: • Familiarity with data and business process. • Understanding data concepts, including storage, retrieval and analysis. • An understanding of ETL/ELT processes, data modeling, and schema design. • 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. Working Conditions • Ability to work in a fast-paced, dynamic environment. Triage Skills • Prioritization: Assess and prioritize software issues based on severity, frequency, and impact. • Collaboration: Work with stakeholders and technical leads to determine the best course of action for resolving issues. • Decision-Making: Make informed decisions on which issues to address first, balancing business needs and technical feasibility. • Communication: Clearly communicate the status and priority of issues to all relevant parties. • Problem-Solving: Quickly identify the root cause of issues and propose effective solutions.