{"schemaVersion":"jobsearcher.job.v1","id":"98ea2ac997811c39a62f146d","url":"https://jobsearcher.com/jobs/98ea2ac997811c39a62f146d","canonicalUrl":"https://jobsearcher.com/jobs/98ea2ac997811c39a62f146d","title":"Full Stack Developer","description":"The Full Stack Developer performs high complexity (system-level) analysis, design, development, and unit testing of scalable applications and data solutions. This role focuses on building cloud-native, data-driven systems using Python and AWS services. The candidate is also responsible for resolving defects identified during testing cycles and supporting production environments.\nKey Responsibilities\nl Design, develop, and maintain full stack applications and data pipelines\nl Build scalable data processing solutions using distributed frameworks (e.g., PySpark)\nl Develop and optimize batch and real-time data workflows\nl Build backend services and APIs\nl Develop and deploy cloud-native solutions using AWS (serverless and container-based architectures)\nl Collaborate with business and technical teams to translate requirements into technical solutions\nl Perform unit testing, debugging, and performance tuning\nl Support CI/CD, deployment, monitoring, and production operations\nTop 5 Required Skills (Hard Filter – Mandatory)\nl Strong Python development experience (hands-on, production-level)\nl Experience with distributed data processing (PySpark)\nl Strong SQL skills with experience in large-scale data environments\nl Hands-on experience with AWS core services, including:\nS3, Redshift, RDS\nLambda, EC2, ECS, EMR, AWS Batch\nExperience building scalable data pipelines (batch and/or real-time processing)\n5 Preferred Skills (Nice-to-Have)\nl Experience with data processing libraries: NumPy, Pandas, Polars\nl Experience building APIs / backend services (RESTful / microservices)\nl Experience with event-driven and cloud-native architectures\nl Strong understanding of SDLC, Agile, and CI/CD practices\nl Experience working in large-scale enterprise data platforms (e.g., Redshift / EMR-based ecosystems) and handling high-volume financial or analytical datasets\nTechnical Environment\nl Languages: Python\nl Data Processing: PySpark, NumPy, Pandas, Polars\nl Databases: SQL, RDS, Redshift\nl Cloud Platform: AWS (S3, Lambda, EC2, ECS, EMR, AWS Batch, Step Functions, SNS, SQS, CloudWatch, ALB, API Gateway, ECR)\nEducation & Experience\nl Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)\nl Typically 5–10 years of relevant software development experience\nl Proven experience delivering applications of similar scope and complexity\nl Focus is Python + Data Engineering + AWS, not legacy full-stack\nl Candidates must have hands-on AWS experience, not just theoretical exposure\nl Prior experience in enterprise-scale data environments preferred.\nPay: $90,000.00 - $120,000.00 per year\nWork Location: In person","company":"Businessobject Solutions","rawCompany":"businessobject solutions","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-07-27T13:25:17.628Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"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":"Full Stack Developer","description":"The Full Stack Developer performs high complexity (system-level) analysis, design, development, and unit testing of scalable applications and data solutions. This role focuses on building cloud-native, data-driven systems using Python and AWS services. The candidate is also responsible for resolving defects identified during testing cycles and supporting production environments.\nKey Responsibilities\nl Design, develop, and maintain full stack applications and data pipelines\nl Build scalable data processing solutions using distributed frameworks (e.g., PySpark)\nl Develop and optimize batch and real-time data workflows\nl Build backend services and APIs\nl Develop and deploy cloud-native solutions using AWS (serverless and container-based architectures)\nl Collaborate with business and technical teams to translate requirements into technical solutions\nl Perform unit testing, debugging, and performance tuning\nl Support CI/CD, deployment, monitoring, and production operations\nTop 5 Required Skills (Hard Filter – Mandatory)\nl Strong Python development experience (hands-on, production-level)\nl Experience with distributed data processing (PySpark)\nl Strong SQL skills with experience in large-scale data environments\nl Hands-on experience with AWS core services, including:\nS3, Redshift, RDS\nLambda, EC2, ECS, EMR, AWS Batch\nExperience building scalable data pipelines (batch and/or real-time processing)\n5 Preferred Skills (Nice-to-Have)\nl Experience with data processing libraries: NumPy, Pandas, Polars\nl Experience building APIs / backend services (RESTful / microservices)\nl Experience with event-driven and cloud-native architectures\nl Strong understanding of SDLC, Agile, and CI/CD practices\nl Experience working in large-scale enterprise data platforms (e.g., Redshift / EMR-based ecosystems) and handling high-volume financial or analytical datasets\nTechnical Environment\nl Languages: Python\nl Data Processing: PySpark, NumPy, Pandas, Polars\nl Databases: SQL, RDS, Redshift\nl Cloud Platform: AWS (S3, Lambda, EC2, ECS, EMR, AWS Batch, Step Functions, SNS, SQS, CloudWatch, ALB, API Gateway, ECR)\nEducation & Experience\nl Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)\nl Typically 5–10 years of relevant software development experience\nl Proven experience delivering applications of similar scope and complexity\nl Focus is Python + Data Engineering + AWS, not legacy full-stack\nl Candidates must have hands-on AWS experience, not just theoretical exposure\nl Prior experience in enterprise-scale data environments preferred.\nPay: $90,000.00 - $120,000.00 per year\nWork Location: In person","datePosted":"2026-07-27T13:25:17.628Z","dateModified":"2026-07-27T13:25:17.628Z","hiringOrganization":{"@type":"Organization","name":"Businessobject Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"98ea2ac997811c39a62f146d"},"url":"https://jobsearcher.com/jobs/98ea2ac997811c39a62f146d"}}