{"schemaVersion":"jobsearcher.job.v1","id":"40a550a951e76b257cef2bbb","url":"https://jobsearcher.com/jobs/40a550a951e76b257cef2bbb","canonicalUrl":"https://jobsearcher.com/jobs/40a550a951e76b257cef2bbb","title":"Senior Python Developer","description":"We are seeking a Senior Python Data Engineer to design, develop, and support scalable cloud-native data solutions. The ideal candidate will have strong experience with Python, PySpark, SQL, and AWS, building high-performance data pipelines and distributed processing systems in enterprise environments.Key ResponsibilitiesDesign and develop scalable data pipelines and processing solutions.Build batch and real-time data workflows using Python and PySpark.Develop AWS-based applications and services using serverless and containerized architectures.Build APIs and backend services to support data integrations.Optimize performance, reliability, and scalability of applications and data platforms.Collaborate with cross-functional teams to deliver business solutions.Support testing, deployment, monitoring, and production operations.Required Qualifications5–10 years of software development or data engineering experience.Strong hands-on Python development experience.Experience with PySpark and distributed data processing.Advanced SQL skills and experience working with large datasets.Hands-on experience with AWS services including:S3, Redshift, RDSLambda, EC2, ECS, EMR, AWS BatchExperience building scalable data pipelines and ETL/ELT solutions.Preferred QualificationsExperience with NumPy, Pandas, or Polars.Experience building REST APIs and microservices.Knowledge of cloud-native and event-driven architectures.Experience with Agile and CI/CD practices.Experience working with enterprise-scale data platforms.Technical EnvironmentPython | PySpark | SQL | AWS (S3, Redshift, RDS, Lambda, EC2, ECS, EMR, AWS Batch)","company":"Aktra","rawCompany":"aktra","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-06-19T09:03:46.590Z","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":"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":"Senior Python Developer","description":"We are seeking a Senior Python Data Engineer to design, develop, and support scalable cloud-native data solutions. The ideal candidate will have strong experience with Python, PySpark, SQL, and AWS, building high-performance data pipelines and distributed processing systems in enterprise environments.Key ResponsibilitiesDesign and develop scalable data pipelines and processing solutions.Build batch and real-time data workflows using Python and PySpark.Develop AWS-based applications and services using serverless and containerized architectures.Build APIs and backend services to support data integrations.Optimize performance, reliability, and scalability of applications and data platforms.Collaborate with cross-functional teams to deliver business solutions.Support testing, deployment, monitoring, and production operations.Required Qualifications5–10 years of software development or data engineering experience.Strong hands-on Python development experience.Experience with PySpark and distributed data processing.Advanced SQL skills and experience working with large datasets.Hands-on experience with AWS services including:S3, Redshift, RDSLambda, EC2, ECS, EMR, AWS BatchExperience building scalable data pipelines and ETL/ELT solutions.Preferred QualificationsExperience with NumPy, Pandas, or Polars.Experience building REST APIs and microservices.Knowledge of cloud-native and event-driven architectures.Experience with Agile and CI/CD practices.Experience working with enterprise-scale data platforms.Technical EnvironmentPython | PySpark | SQL | AWS (S3, Redshift, RDS, Lambda, EC2, ECS, EMR, AWS Batch)","datePosted":"2026-06-19T09:03:46.590Z","dateModified":"2026-06-19T09:03:46.590Z","hiringOrganization":{"@type":"Organization","name":"Aktra","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"40a550a951e76b257cef2bbb"},"url":"https://jobsearcher.com/jobs/40a550a951e76b257cef2bbb"}}