{"schemaVersion":"jobsearcher.job.v1","id":"c5eaa1b7d89485f402f732aa","url":"https://jobsearcher.com/jobs/c5eaa1b7d89485f402f732aa","canonicalUrl":"https://jobsearcher.com/jobs/c5eaa1b7d89485f402f732aa","title":"Senior Data Engineer – Python, PySpark & AWS","description":"Plano, United States | Posted on 11/02/2026\r\nRelocation: Open\r\nOpen for W2 only- No c2c/1099 or third party resumes\r\nDue to the nature of the roles client is onlyaccepting USC/GC /GC EAD only no other visas accepted .\r\nRoleOverviewWe areseeking a hands-on Senior Data Engineer with strong Python, PySpark, and AWSexperience to develop and maintain scalable data pipelines and distributed dataprocessing solutions. The ideal candidate will have experience supportingproduction data engineering workloads, cloud infrastructure, and dataorchestration.\r\nKeyResponsibilitiesDevelop, test, and maintain ETL/ELT data pipelines using Python andPySpark.\r\nBuild and support big-data processing solutions on AWS using S3,EMR, and Lambda.\r\nDevelop data integrations using REST APIs, Kafka, and MQ messaging.\r\nSupport data storage and retrieval using Cassandra.\r\nOrchestrate and monitor workflows using Airflow, Control-M, andnative schedulers.\r\nTroubleshoot pipeline failures and optimize performance,reliability, and data quality.\r\nRequiredSkillsStrong hands-on Python and PySpark experience.\r\nExperience with big-data processing and production data pipelines.\r\nAWS experience with S3, EMR, and Lambda.\r\nWorking knowledge of Terraform.\r\nFamiliarity with Kafka, MQ messaging, REST APIs, Java, andCassandra.\r\nExperience with Airflow, Control-M, or other workflow schedulingtools.\r\nPreferred:Databricks experience and exposureto machine-learning workflows.#J-18808-Ljbffr","company":"Sci Solutions Global","rawCompany":"sci solutions global","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-11-05T01:42:24.814Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-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"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer – Python, PySpark & AWS","description":"Plano, United States | Posted on 11/02/2026\r\nRelocation: Open\r\nOpen for W2 only- No c2c/1099 or third party resumes\r\nDue to the nature of the roles client is onlyaccepting USC/GC /GC EAD only no other visas accepted .\r\nRoleOverviewWe areseeking a hands-on Senior Data Engineer with strong Python, PySpark, and AWSexperience to develop and maintain scalable data pipelines and distributed dataprocessing solutions. The ideal candidate will have experience supportingproduction data engineering workloads, cloud infrastructure, and dataorchestration.\r\nKeyResponsibilitiesDevelop, test, and maintain ETL/ELT data pipelines using Python andPySpark.\r\nBuild and support big-data processing solutions on AWS using S3,EMR, and Lambda.\r\nDevelop data integrations using REST APIs, Kafka, and MQ messaging.\r\nSupport data storage and retrieval using Cassandra.\r\nOrchestrate and monitor workflows using Airflow, Control-M, andnative schedulers.\r\nTroubleshoot pipeline failures and optimize performance,reliability, and data quality.\r\nRequiredSkillsStrong hands-on Python and PySpark experience.\r\nExperience with big-data processing and production data pipelines.\r\nAWS experience with S3, EMR, and Lambda.\r\nWorking knowledge of Terraform.\r\nFamiliarity with Kafka, MQ messaging, REST APIs, Java, andCassandra.\r\nExperience with Airflow, Control-M, or other workflow schedulingtools.\r\nPreferred:Databricks experience and exposureto machine-learning workflows.#J-18808-Ljbffr","datePosted":"2026-11-05T01:42:24.814Z","dateModified":"2026-11-05T01:42:24.814Z","hiringOrganization":{"@type":"Organization","name":"Sci Solutions Global","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c5eaa1b7d89485f402f732aa"},"url":"https://jobsearcher.com/jobs/c5eaa1b7d89485f402f732aa"}}