{"schemaVersion":"jobsearcher.job.v1","id":"c05912ccd9d35cfdbc4d7a45","url":"https://jobsearcher.com/jobs/c05912ccd9d35cfdbc4d7a45","canonicalUrl":"https://jobsearcher.com/jobs/c05912ccd9d35cfdbc4d7a45","title":"Senior Spark & Python Developer","description":"Senior Developer Role In a senior developer role, you will design and build data flow and data integration processes to enhance loss prevention technologies for a leading financing firm. Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java, and Scala, you will develop, test, and deploy end-to-end solutions using full-stack development tools within AWS (EMR, S3) cloud based infrastructure. A Typical Day As A Senior Spark Programmer Develop fault tolerant, streaming as well as batch data integration processes using Spark/PySpark, Java and performance enhanced SQL Develop and lead development efforts of application programming interfaces to enable integration of fraud detection systems with a host of new reporting and data mining tools Design and develop automation of data flow tasks and end-to-end process testing Design and develop scalable frameworks to ingest, transform, store, and present loss prevention information to downstream systems Implement and lead implementation of Agile best practices and a continuous integration ecosystem Implement and lead implementation efforts of Spark/Python based solution architecture, scalable process frameworks, advanced analytics, and responsive RESTful services What You Will Need To Bring To The Table 5+ years experience with processing of structured, unstructured and semi-structured data using in-memory cluster computing technologies, specifically with Spark 5+ years experience as a Java programmer 3+ years experience programming in Python (PySpark API) 3+ years experience with cloud services offered through AWS, like EMR, Redshift, or S3 3+ years experience in developing, testing and deploying RESTful APIs for high volume data streams Experience with continuous integration tools like Jenkins Experience working in a distributed computing infrastructure like Hadoop and/or Spark Critical and analytical approach to solving technical problems Excellent interpersonal skills and ability to clearly communicate highly technical concepts to business stakeholders and technical developers alike","company":"Mavens Guild","rawCompany":"mavens guild","city":"Reston","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-08-02T01:06:44.220Z","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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Spark & Python Developer","description":"Senior Developer Role In a senior developer role, you will design and build data flow and data integration processes to enhance loss prevention technologies for a leading financing firm. Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java, and Scala, you will develop, test, and deploy end-to-end solutions using full-stack development tools within AWS (EMR, S3) cloud based infrastructure. A Typical Day As A Senior Spark Programmer Develop fault tolerant, streaming as well as batch data integration processes using Spark/PySpark, Java and performance enhanced SQL Develop and lead development efforts of application programming interfaces to enable integration of fraud detection systems with a host of new reporting and data mining tools Design and develop automation of data flow tasks and end-to-end process testing Design and develop scalable frameworks to ingest, transform, store, and present loss prevention information to downstream systems Implement and lead implementation of Agile best practices and a continuous integration ecosystem Implement and lead implementation efforts of Spark/Python based solution architecture, scalable process frameworks, advanced analytics, and responsive RESTful services What You Will Need To Bring To The Table 5+ years experience with processing of structured, unstructured and semi-structured data using in-memory cluster computing technologies, specifically with Spark 5+ years experience as a Java programmer 3+ years experience programming in Python (PySpark API) 3+ years experience with cloud services offered through AWS, like EMR, Redshift, or S3 3+ years experience in developing, testing and deploying RESTful APIs for high volume data streams Experience with continuous integration tools like Jenkins Experience working in a distributed computing infrastructure like Hadoop and/or Spark Critical and analytical approach to solving technical problems Excellent interpersonal skills and ability to clearly communicate highly technical concepts to business stakeholders and technical developers alike","datePosted":"2026-08-02T01:06:44.220Z","dateModified":"2026-08-02T01:06:44.220Z","hiringOrganization":{"@type":"Organization","name":"Mavens Guild","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Reston","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c05912ccd9d35cfdbc4d7a45"},"url":"https://jobsearcher.com/jobs/c05912ccd9d35cfdbc4d7a45"}}