Senior QA Automation Engineer – Enterprise Data & Analytics Platform

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    "heading": "Senior QA Automation Engineer – Enterprise Data & Analytics Platform",
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    "description_html": "<span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><strong><span lang=\"en-us\" style=\"color:#000000;\">Role Summary:</span></strong><br><span style=\"color:#000000;\">We are seeking a highly skilled and self-directed Senior QA Engineer/SDET to drive comprehensive quality engineering for our Enterprise Data & Analytics Platform. Reporting into the Sr. Director – Analysis, Change and Quality, this role will own and implement advanced automated testing strategies across the entire data lifecycle, ensuring data reliability, data quality, and AI/BI model accuracy. This role requires deep technical expertise in automation tools to test data pipelines in data bricks and data quality frameworks.</span><br><br><strong><span lang=\"en-us\" style=\"color:#000000;\">Key Responsibilities:</span></strong></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Architect and implement robust automated testing frameworks leveraging PySpark and Databricks-native tools for data validation across Raw, Curated, and Mart layers.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Design and implement data quality validation frameworks, including checks on accuracy, completeness, and consistency across transformation layers.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Create advanced data quality KPIs, integrating them into automated dashboards to track quality trends across layers.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">This will be a hybrid role at University Boulevard East Adelphi, Maryland 20783, 1-2 days a week</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Design metadata-driven tests, integrating with CI/CD pipelines, with coverage on all transformation layers.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Lead development of QA user stories and acceptance criteria, precisely defining test scenarios for ingestion, transformation, and consumption layers.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Perform complex data reconciliation testing across 10+ source systems, ensuring accuracy, completeness, and consistency from source through Mart.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Own the end-to-end testing lifecycle (QA, Staging, Production), defining what and when to test at each stage and ensuring sign-off criteria are met.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Partner closely with data engineers to troubleshoot pipeline failures, connectivity issues, and performance bottlenecks.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Set standards for data lineage and auditability, ensuring every transformation step can be validated and traced.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Plan, facilitate, and manage User Acceptance Testing (UAT) involving business users for data visualization tools such as Tableau running on Databricks.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Prepare UAT test scenarios aligned with business use cases, guide users through testing, and gather actionable feedback. </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Drive defect triage, resolution, and retesting, ensuring readiness for production release. </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Work within a </span>SAFe<span style=\"color:#000000;\"> Agile framework, participating in PI planning, sprint ceremonies, and cross-team coordination. Collaborate with DevOps, Data Engineers, Data Scientists, and Product Owners to integrate QA into CI/CD pipelines. </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Provide regular updates to project and senior management on progress of QA milestones and tasks. </span></span></span></li></ul><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><strong><span lang=\"en-us\" style=\"color:#000000;\">Required Skills & Expertise:</span></strong></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\"><span style=\"color:#000000;\">Minimum of 5+ years of solid experience in Data Engineering with proven experience testing and validating data pipelines in Databricks, including medallion architecture.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\"><span style=\"color:#000000;\">Proficient in creating testing framework for validating Data Quality.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\"><span style=\"color:#000000;\">Proficient in Databricks notebook, PySpark, Python, SQL, and data qu</span></span><span lang=\"en-us\" style=\"color:#000000;\">ality testing.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Expert with testing AI/BI models, ensuring data quality from feature engineering through model scoring.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Experience in CI/CD pipelines (e.g., Azure DevOps) for automated test execution.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Strong knowledge of data governance (data lineage, audit trails, compliance testing).</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Excellent problem-solving skills with the ability to work in a fast-paced environment. </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Experience with tools such as Azure Purview and Profisee MDM is preferred.</span></span></span></li></ul>",
    "description_text": "Role Summary:\n We are seeking a highly skilled and self-directed Senior QA Engineer/SDET to drive comprehensive quality engineering for our Enterprise Data & Analytics Platform. Reporting into the Sr. Director – Analysis, Change and Quality, this role will own and implement advanced automated testing strategies across the entire data lifecycle, ensuring data reliability, data quality, and AI/BI model accuracy. This role requires deep technical expertise in automation tools to test data pipelines in data bricks and data quality frameworks.\n Key Responsibilities: Architect and implement robust automated testing frameworks leveraging PySpark and Databricks-native tools for data validation across Raw, Curated, and Mart layers.\n Design and implement data quality validation frameworks, including checks on accuracy, completeness, and consistency across transformation layers.\n Create advanced data quality KPIs, integrating them into automated dashboards to track quality trends across layers.\n This will be a hybrid role at University Boulevard East Adelphi, Maryland 20783, 1-2 days a week\n Design metadata-driven tests, integrating with CI/CD pipelines, with coverage on all transformation layers.\n Lead development of QA user stories and acceptance criteria, precisely defining test scenarios for ingestion, transformation, and consumption layers.\n Perform complex data reconciliation testing across 10+ source systems, ensuring accuracy, completeness, and consistency from source through Mart.\n Own the end-to-end testing lifecycle (QA, Staging, Production), defining what and when to test at each stage and ensuring sign-off criteria are met.\n Partner closely with data engineers to troubleshoot pipeline failures, connectivity issues, and performance bottlenecks.\n Set standards for data lineage and auditability, ensuring every transformation step can be validated and traced.\n Plan, facilitate, and manage User Acceptance Testing (UAT) involving business users for data visualization tools such as Tableau running on Databricks.\n Prepare UAT test scenarios aligned with business use cases, guide users through testing, and gather actionable feedback.\n Drive defect triage, resolution, and retesting, ensuring readiness for production release.\n Work within a  SAFe  Agile framework, participating in PI planning, sprint ceremonies, and cross-team coordination. Collaborate with DevOps, Data Engineers, Data Scientists, and Product Owners to integrate QA into CI/CD pipelines.\n Provide regular updates to project and senior management on progress of QA milestones and tasks.\n Required Skills & Expertise: Minimum of 5+ years of solid experience in Data Engineering with proven experience testing and validating data pipelines in Databricks, including medallion architecture.\n Proficient in creating testing framework for validating Data Quality.\n Proficient in Databricks notebook, PySpark, Python, SQL, and data qu ality testing.\n Expert with testing AI/BI models, ensuring data quality from feature engineering through model scoring.\n Experience in CI/CD pipelines (e.g., Azure DevOps) for automated test execution.\n Strong knowledge of data governance (data lineage, audit trails, compliance testing).\n Excellent problem-solving skills with the ability to work in a fast-paced environment.\n Experience with tools such as Azure Purview and Profisee MDM is preferred.",
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      "title": "Senior QA Automation Engineer – Enterprise Data & Analytics Platform",
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      "datePosted": "2026-06-09",
      "description": "<span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><strong><span lang=\"en-us\" style=\"color:#000000;\">Role Summary:</span></strong><br><span style=\"color:#000000;\">We are seeking a highly skilled and self-directed Senior QA Engineer/SDET to drive comprehensive quality engineering for our Enterprise Data & Analytics Platform. Reporting into the Sr. Director – Analysis, Change and Quality, this role will own and implement advanced automated testing strategies across the entire data lifecycle, ensuring data reliability, data quality, and AI/BI model accuracy. This role requires deep technical expertise in automation tools to test data pipelines in data bricks and data quality frameworks.</span><br><br><strong><span lang=\"en-us\" style=\"color:#000000;\">Key Responsibilities:</span></strong></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Architect and implement robust automated testing frameworks leveraging PySpark and Databricks-native tools for data validation across Raw, Curated, and Mart layers.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Design and implement data quality validation frameworks, including checks on accuracy, completeness, and consistency across transformation layers.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Create advanced data quality KPIs, integrating them into automated dashboards to track quality trends across layers.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">This will be a hybrid role at University Boulevard East Adelphi, Maryland 20783, 1-2 days a week</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Design metadata-driven tests, integrating with CI/CD pipelines, with coverage on all transformation layers.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Lead development of QA user stories and acceptance criteria, precisely defining test scenarios for ingestion, transformation, and consumption layers.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Perform complex data reconciliation testing across 10+ source systems, ensuring accuracy, completeness, and consistency from source through Mart.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Own the end-to-end testing lifecycle (QA, Staging, Production), defining what and when to test at each stage and ensuring sign-off criteria are met.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Partner closely with data engineers to troubleshoot pipeline failures, connectivity issues, and performance bottlenecks.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Set standards for data lineage and auditability, ensuring every transformation step can be validated and traced.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Plan, facilitate, and manage User Acceptance Testing (UAT) involving business users for data visualization tools such as Tableau running on Databricks.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Prepare UAT test scenarios aligned with business use cases, guide users through testing, and gather actionable feedback. </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Drive defect triage, resolution, and retesting, ensuring readiness for production release. </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Work within a </span>SAFe<span style=\"color:#000000;\"> Agile framework, participating in PI planning, sprint ceremonies, and cross-team coordination. Collaborate with DevOps, Data Engineers, Data Scientists, and Product Owners to integrate QA into CI/CD pipelines. </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Provide regular updates to project and senior management on progress of QA milestones and tasks. </span></span></span></li></ul><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><strong><span lang=\"en-us\" style=\"color:#000000;\">Required Skills & Expertise:</span></strong></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\"><span style=\"color:#000000;\">Minimum of 5+ years of solid experience in Data Engineering with proven experience testing and validating data pipelines in Databricks, including medallion architecture.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\"><span style=\"color:#000000;\">Proficient in creating testing framework for validating Data Quality.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\"><span style=\"color:#000000;\">Proficient in Databricks notebook, PySpark, Python, SQL, and data qu</span></span><span lang=\"en-us\" style=\"color:#000000;\">ality testing.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Expert with testing AI/BI models, ensuring data quality from feature engineering through model scoring.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Experience in CI/CD pipelines (e.g., Azure DevOps) for automated test execution.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Strong knowledge of data governance (data lineage, audit trails, compliance testing).</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Excellent problem-solving skills with the ability to work in a fast-paced environment. </span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12px;\"><span style=\"font-family:'Times New Roman', Times, serif;\"><span lang=\"en-us\" style=\"color:#000000;\">Experience with tools such as Azure Purview and Profisee MDM is preferred.</span></span></span></li></ul>",
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