{"schemaVersion":"jobsearcher.job.v1","id":"b0554ab1898d7e3cc6d6ff8f","url":"https://jobsearcher.com/jobs/b0554ab1898d7e3cc6d6ff8f","canonicalUrl":"https://jobsearcher.com/jobs/b0554ab1898d7e3cc6d6ff8f","title":"Python PySpark/ Data Engineer","description":"Overview\nAs a Python PySpark/Data Engineer at HAN Staffing, you will design and implement cloud-based data pipelines to support analytics. You will migrate and develop data solutions on AWS, and build real-time streaming processes with Spark. You’ll leverage Databricks or similar cloud databases, write optimized SQL, and follow data-lake architecture best practices. This role offers impact through scalable data platforms and collaboration with cross-functional teams to enable data-driven decisions.\n\nResponsibilitiesDesign and implement cloud-based data pipelinesMigrate and develop data solutions on AWSBuild data pipelines using Databricks or equivalentWrite complex, optimized SQL for large data volumesDevelop real-time data streams with SparkApply architectural best practices for data lakes\nKey requirements6+ years experience designing and implementing cloud data pipelines5+ years experience with AWS2+ years experience with Databricks or similar cloud databasesExpert SQL for large datasetsHands-on Python (object-oriented) programmingExperience building real-time data streams with SparkKnowledge of data lake architectural best practicesPythonPySparkSparkDatabricksSQLAWS","company":"Han Staffing","rawCompany":"han staffing","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:43:48.339Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Python PySpark/ Data Engineer","description":"Overview\nAs a Python PySpark/Data Engineer at HAN Staffing, you will design and implement cloud-based data pipelines to support analytics. You will migrate and develop data solutions on AWS, and build real-time streaming processes with Spark. You’ll leverage Databricks or similar cloud databases, write optimized SQL, and follow data-lake architecture best practices. This role offers impact through scalable data platforms and collaboration with cross-functional teams to enable data-driven decisions.\n\nResponsibilitiesDesign and implement cloud-based data pipelinesMigrate and develop data solutions on AWSBuild data pipelines using Databricks or equivalentWrite complex, optimized SQL for large data volumesDevelop real-time data streams with SparkApply architectural best practices for data lakes\nKey requirements6+ years experience designing and implementing cloud data pipelines5+ years experience with AWS2+ years experience with Databricks or similar cloud databasesExpert SQL for large datasetsHands-on Python (object-oriented) programmingExperience building real-time data streams with SparkKnowledge of data lake architectural best practicesPythonPySparkSparkDatabricksSQLAWS","datePosted":"2026-09-15T03:43:48.339Z","dateModified":"2026-09-15T03:43:48.339Z","hiringOrganization":{"@type":"Organization","name":"Han Staffing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b0554ab1898d7e3cc6d6ff8f"},"url":"https://jobsearcher.com/jobs/b0554ab1898d7e3cc6d6ff8f"}}