{"schemaVersion":"jobsearcher.job.v1","id":"4dc59de87c1c701a7c962cd9","url":"https://jobsearcher.com/jobs/4dc59de87c1c701a7c962cd9","canonicalUrl":"https://jobsearcher.com/jobs/4dc59de87c1c701a7c962cd9","title":"Senior Developer","description":"King, Washington\nJob Summary\nDevelop automated scripts to validate source-to-target data movements, ensuring schema consistency, completeness, and timeliness.\nBuild robust, reusable testing utilities using Python , native AWS services that integrate seamlessly into DataOps workflows.\nSet up continuous data drift monitoring, schema validation, and data quality dashboards to proactively catch pipeline failures.\nPartner with data engineers, BI teams, and software engineers to translate business rules into strict data quality KPIs and SLAs.\nKey Responsibilities\nDevelop automated scripts to validate source-to-target data movements, ensuring schema consistency, completeness, and timeliness.\nBuild robust, reusable testing utilities using Python , native AWS services that integrate seamlessly into DataOps workflows.\nSet up continuous data drift monitoring, schema validation, and data quality dashboards to proactively catch pipeline failures.\nPartner with data engineers, BI teams, and software engineers to translate business rules into strict data quality KPIs and SLAs.\nSkill Requirements\nDeep proficiency in AWS data and storage services like Amazon S3, AWS Glue, Amazon Redshift, and AWS Lambda .\nAdvanced proficiency in Python for building automation frameworks and orchestrating data tests .\nExperience with orchestration tools (e.g., Apache Airflow ), data transformation, and data quality monitoring frameworks (e.g., Amazon Deequ ).\nStrong command of SQL and UNIX/Linux scripting for querying and analyzing large-scale, distributed datasets\nOther Requirements\n\nCertifications: Candidate with AWS Certified Data Engineer – Associate - Highly preferred\n\nMaximum Salary (US): 99000\nMinimum Salary (US): 59000\n#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-","company":"HCLTech","rawCompany":"hcltech","city":"King","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-08-04T21:19:39.060Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Developer","description":"King, Washington\nJob Summary\nDevelop automated scripts to validate source-to-target data movements, ensuring schema consistency, completeness, and timeliness.\nBuild robust, reusable testing utilities using Python , native AWS services that integrate seamlessly into DataOps workflows.\nSet up continuous data drift monitoring, schema validation, and data quality dashboards to proactively catch pipeline failures.\nPartner with data engineers, BI teams, and software engineers to translate business rules into strict data quality KPIs and SLAs.\nKey Responsibilities\nDevelop automated scripts to validate source-to-target data movements, ensuring schema consistency, completeness, and timeliness.\nBuild robust, reusable testing utilities using Python , native AWS services that integrate seamlessly into DataOps workflows.\nSet up continuous data drift monitoring, schema validation, and data quality dashboards to proactively catch pipeline failures.\nPartner with data engineers, BI teams, and software engineers to translate business rules into strict data quality KPIs and SLAs.\nSkill Requirements\nDeep proficiency in AWS data and storage services like Amazon S3, AWS Glue, Amazon Redshift, and AWS Lambda .\nAdvanced proficiency in Python for building automation frameworks and orchestrating data tests .\nExperience with orchestration tools (e.g., Apache Airflow ), data transformation, and data quality monitoring frameworks (e.g., Amazon Deequ ).\nStrong command of SQL and UNIX/Linux scripting for querying and analyzing large-scale, distributed datasets\nOther Requirements\n\nCertifications: Candidate with AWS Certified Data Engineer – Associate - Highly preferred\n\nMaximum Salary (US): 99000\nMinimum Salary (US): 59000\n#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-","datePosted":"2026-08-04T21:19:39.060Z","dateModified":"2026-08-04T21:19:39.060Z","hiringOrganization":{"@type":"Organization","name":"HCLTech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"King","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4dc59de87c1c701a7c962cd9"},"url":"https://jobsearcher.com/jobs/4dc59de87c1c701a7c962cd9"}}