{"schemaVersion":"jobsearcher.job.v1","id":"ffbbf1f94bd7953b8f073439","url":"https://jobsearcher.com/jobs/ffbbf1f94bd7953b8f073439","canonicalUrl":"https://jobsearcher.com/jobs/ffbbf1f94bd7953b8f073439","title":"Senior Full Stack Developer – Python (ONLY LOCALS)","description":"Job SummaryWe are seeking a Senior Full Stack Developer – Python with strong experience in Python, PySpark, AWS, and Data Engineering to develop and modernize data-centric applications supporting enterprise and regulatory reporting initiatives.The ideal candidate will have hands-on experience building scalable data solutions, developing batch and real-time pipelines, supporting legacy applications, and modernizing applications within cloud environments. This role requires strong technical problem-solving skills, production support experience, and the ability to collaborate with cross-functional Agile teams.Key ResponsibilitiesDesign and develop scalable data solutions using Python, PySpark, Spark, and AWS.Build, enhance, and support batch and real-time data pipelines.Develop and maintain cloud-based data processing solutions using AWS S3, Glue, EMR, Data Lake, and Delta Lake.Modernize legacy applications while maintaining and supporting existing systems.Troubleshoot production issues, defects, performance problems, and application enhancements.Analyze existing processes and identify opportunities for automation, optimization, and innovation.Collaborate closely with Product Owners, Scrum Masters, business stakeholders, and technical teams.Evaluate emerging technologies and develop Proofs of Concept (POCs) to support modernization initiatives.Participate in Agile ceremonies, technical discussions, code reviews, and SDLC activities.Lead and mentor junior developers while providing technical guidance and best practices.Work within CI/CD and Agile development environments.Support application deployments, production releases, and ongoing system enhancements.Required Qualifications5+ years of professional software development experience.5+ years of hands-on Python development experience.5+ years of hands-on PySpark / Spark experience.5+ years of Data Engineering experience.Strong hands-on experience with AWS, including:Amazon S3AWS GlueAmazon EMRAWS Data LakeDelta LakeExperience working with legacy applications and modernization initiatives.3+ years of SQL experience, including complex queries.3+ years of Unix/Linux experience.Strong understanding of SDLC, Agile methodologies, and software development practices.Experience providing technical leadership and mentoring junior developers.Strong troubleshooting, analytical, and problem-solving skills.Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.Preferred QualificationsExperience within financial services or mortgage-related environments.Experience supporting regulatory reporting applications or data solutions.Experience with the Hadoop/Spark ecosystem.Experience developing real-time data processing solutions.Experience with CI/CD, cloud modernization, and DevOps practices.Strong production support and incident troubleshooting experience.Experience developing automation solutions and technical POCs.Experience working with large-scale enterprise data platforms.Technical SkillsPrimary: Python, PySpark, Apache Spark, Data Engineering, SQLAWS: S3, Glue, EMR, Data LakeData Technologies: Delta Lake, Hadoop, Spark ecosystem, Batch Processing, Real-Time Data ProcessingSystems: Unix, Linux, Legacy Application ModernizationDevelopment Practices: SDLC, Agile, CI/CD, Production Support, Automation, POCsWork Environment100% onsite in McLean, VACandidates must be local to the DMV region.Immediate availability preferred.Why Join Accelyst?At Accelyst, you will work on modern data and cloud engineering initiatives involving AI, automation, cloud technologies, and enterprise-scale solutions. Our collaborative and agile environment provides opportunities to work with modern technologies while solving complex business and technical challenges.","company":"Accelyst","rawCompany":"accelyst","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-09-18T09:16:22.526Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Full Stack Developer – Python (ONLY LOCALS)","description":"Job SummaryWe are seeking a Senior Full Stack Developer – Python with strong experience in Python, PySpark, AWS, and Data Engineering to develop and modernize data-centric applications supporting enterprise and regulatory reporting initiatives.The ideal candidate will have hands-on experience building scalable data solutions, developing batch and real-time pipelines, supporting legacy applications, and modernizing applications within cloud environments. This role requires strong technical problem-solving skills, production support experience, and the ability to collaborate with cross-functional Agile teams.Key ResponsibilitiesDesign and develop scalable data solutions using Python, PySpark, Spark, and AWS.Build, enhance, and support batch and real-time data pipelines.Develop and maintain cloud-based data processing solutions using AWS S3, Glue, EMR, Data Lake, and Delta Lake.Modernize legacy applications while maintaining and supporting existing systems.Troubleshoot production issues, defects, performance problems, and application enhancements.Analyze existing processes and identify opportunities for automation, optimization, and innovation.Collaborate closely with Product Owners, Scrum Masters, business stakeholders, and technical teams.Evaluate emerging technologies and develop Proofs of Concept (POCs) to support modernization initiatives.Participate in Agile ceremonies, technical discussions, code reviews, and SDLC activities.Lead and mentor junior developers while providing technical guidance and best practices.Work within CI/CD and Agile development environments.Support application deployments, production releases, and ongoing system enhancements.Required Qualifications5+ years of professional software development experience.5+ years of hands-on Python development experience.5+ years of hands-on PySpark / Spark experience.5+ years of Data Engineering experience.Strong hands-on experience with AWS, including:Amazon S3AWS GlueAmazon EMRAWS Data LakeDelta LakeExperience working with legacy applications and modernization initiatives.3+ years of SQL experience, including complex queries.3+ years of Unix/Linux experience.Strong understanding of SDLC, Agile methodologies, and software development practices.Experience providing technical leadership and mentoring junior developers.Strong troubleshooting, analytical, and problem-solving skills.Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.Preferred QualificationsExperience within financial services or mortgage-related environments.Experience supporting regulatory reporting applications or data solutions.Experience with the Hadoop/Spark ecosystem.Experience developing real-time data processing solutions.Experience with CI/CD, cloud modernization, and DevOps practices.Strong production support and incident troubleshooting experience.Experience developing automation solutions and technical POCs.Experience working with large-scale enterprise data platforms.Technical SkillsPrimary: Python, PySpark, Apache Spark, Data Engineering, SQLAWS: S3, Glue, EMR, Data LakeData Technologies: Delta Lake, Hadoop, Spark ecosystem, Batch Processing, Real-Time Data ProcessingSystems: Unix, Linux, Legacy Application ModernizationDevelopment Practices: SDLC, Agile, CI/CD, Production Support, Automation, POCsWork Environment100% onsite in McLean, VACandidates must be local to the DMV region.Immediate availability preferred.Why Join Accelyst?At Accelyst, you will work on modern data and cloud engineering initiatives involving AI, automation, cloud technologies, and enterprise-scale solutions. Our collaborative and agile environment provides opportunities to work with modern technologies while solving complex business and technical challenges.","datePosted":"2026-09-18T09:16:22.526Z","dateModified":"2026-09-18T09:16:22.526Z","hiringOrganization":{"@type":"Organization","name":"Accelyst","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ffbbf1f94bd7953b8f073439"},"url":"https://jobsearcher.com/jobs/ffbbf1f94bd7953b8f073439"}}