Senior Data and Application Quality Assurance Engineer, CASM Platform (Cyber AI Application & Attack
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JOB TITLE: Senior Data and Application Quality Assurance Engineer, CASM Platform (Cyber AI Application & Attack Surface Management)
JOB LOCATION: Boston, MA - Hybrid
WAGE RANGE*: 60 - 68/ hour W2/C2C
JOB NUMBER: 24-01955
REQUIRED EXPERIENCE:
Education: Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience.
Experience: 5+ years in a quality assurance role with a focus on data and application testing, including hands-on experience in data pipeline testing, API, and backend service validation.
Automation Tools: Proven experience of Databricks and test automation frameworks (e.g., Selenium, Postman) and data quality tools (Databricks DQM or similar).
Programming Languages: Proficiency in SQL and Python for writing automated tests and conducting data validation.
Cloud Knowledge: Familiarity with AWS services (e.g., S3, EC2, Lambda) and experience with CI/CD tools like Jenkins, GitLab, or AWS CodePipeline.
Security Testing: Knowledge of SCAS, SAST, DAST/WAS, and experience within secure SDLC frameworks.
Agile Methodologies: Strong understanding of Agile practices and experience in Agile/Scrum environments.
Preferred Experience
Test Strategy Design: Expertise in creating test strategies for data governance, data lineage, and compliance testing.
Cross-functional Collaboration: Demonstrated experience collaborating with data engineering, DevOps, and application development teams.
Data-Oriented Testing Skills: Experience with data warehousing and ETL processes, as well as quality management on platforms like Databricks.
JOB DESCRIPTION
As a Sr. Data and Application SQA Engineer, CASM Platform, you will:
Develop Comprehensive Test Strategies: Create and implement test plans covering E2E testing, including data source validation, API testing, data pipeline automation, user plane, backend services, GUI, and web application testing.
Automate Test Workflows: Design and maintain automated test scripts for data pipelines, leveraging tools like Databricks for DQM (Data Quality Management) and ensuring data accuracy and quality from ingestion through to analysis layers.
Collaborate Across Teams: Work closely with Product Owner, Data Engineers, AI Application Engineers, and DevOps teams to understand requirements, identify test scenarios, and troubleshoot issues efficiently.
Data and API Validation: Conduct in-depth testing of data workflows, ETL/ELT jobs, and API integrations, verifying data integrity, transformation accuracy, and adherence to security protocols.
Continuous Integration & Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate testing, security scanning, and deployment for data and application workflows.
Test Backend Services and SQL Workflows: Execute SQL and Python-based tests to validate database operations, backend services, and data plane consistency.
Perform web application and GUI testing, ensuring alignment with CASM platform requirements.
Drive Quality Assurance Standards: Lead initiatives to establish testing best practices, promote data accuracy, and enhance system reliability through rigorous, continuous testing.
Monitor and Report Quality Metrics: Establish KPIs for testing effectiveness, create detailed reports on testing outcomes, and participate in defect analysis to improve testing processes.
Equal Opportunity Employer Veterans/Disabled
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions.
#Dice
JOB LOCATION: Boston, MA - Hybrid
WAGE RANGE*: 60 - 68/ hour W2/C2C
JOB NUMBER: 24-01955
REQUIRED EXPERIENCE:
Education: Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience.
Experience: 5+ years in a quality assurance role with a focus on data and application testing, including hands-on experience in data pipeline testing, API, and backend service validation.
Automation Tools: Proven experience of Databricks and test automation frameworks (e.g., Selenium, Postman) and data quality tools (Databricks DQM or similar).
Programming Languages: Proficiency in SQL and Python for writing automated tests and conducting data validation.
Cloud Knowledge: Familiarity with AWS services (e.g., S3, EC2, Lambda) and experience with CI/CD tools like Jenkins, GitLab, or AWS CodePipeline.
Security Testing: Knowledge of SCAS, SAST, DAST/WAS, and experience within secure SDLC frameworks.
Agile Methodologies: Strong understanding of Agile practices and experience in Agile/Scrum environments.
Preferred Experience
Test Strategy Design: Expertise in creating test strategies for data governance, data lineage, and compliance testing.
Cross-functional Collaboration: Demonstrated experience collaborating with data engineering, DevOps, and application development teams.
Data-Oriented Testing Skills: Experience with data warehousing and ETL processes, as well as quality management on platforms like Databricks.
JOB DESCRIPTION
As a Sr. Data and Application SQA Engineer, CASM Platform, you will:
Develop Comprehensive Test Strategies: Create and implement test plans covering E2E testing, including data source validation, API testing, data pipeline automation, user plane, backend services, GUI, and web application testing.
Automate Test Workflows: Design and maintain automated test scripts for data pipelines, leveraging tools like Databricks for DQM (Data Quality Management) and ensuring data accuracy and quality from ingestion through to analysis layers.
Collaborate Across Teams: Work closely with Product Owner, Data Engineers, AI Application Engineers, and DevOps teams to understand requirements, identify test scenarios, and troubleshoot issues efficiently.
Data and API Validation: Conduct in-depth testing of data workflows, ETL/ELT jobs, and API integrations, verifying data integrity, transformation accuracy, and adherence to security protocols.
Continuous Integration & Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate testing, security scanning, and deployment for data and application workflows.
Test Backend Services and SQL Workflows: Execute SQL and Python-based tests to validate database operations, backend services, and data plane consistency.
Perform web application and GUI testing, ensuring alignment with CASM platform requirements.
Drive Quality Assurance Standards: Lead initiatives to establish testing best practices, promote data accuracy, and enhance system reliability through rigorous, continuous testing.
Monitor and Report Quality Metrics: Establish KPIs for testing effectiveness, create detailed reports on testing outcomes, and participate in defect analysis to improve testing processes.
Equal Opportunity Employer Veterans/Disabled
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions.
#Dice
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.
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