{"id":11490,"date":"2026-07-07T12:18:26","date_gmt":"2026-07-07T15:18:26","guid":{"rendered":"https:\/\/teamup.tech\/?post_type=awsm_job_openings&p=11490"},"modified":"2026-07-07T12:18:27","modified_gmt":"2026-07-07T15:18:27","slug":"sr-python-data-engineer","status":"publish","type":"awsm_job_openings","link":"https:\/\/teamup.tech\/en\/jobs\/sr-python-data-engineer\/","title":{"rendered":"Sr. Python Data Engineer"},"content":{"rendered":"

Summary<\/mark><\/h2>\n\n\n\n

We are seeking a Senior Python Data Engineer with deep expertise in large-scale data processing, distributed computing, and backend application development. This role is ideal for an experienced engineer who has built data-intensive applications, implemented data science and machine learning solutions, and developed highly scalable APIs capable of handling large data volumes.<\/p>\n\n\n\n

The ideal candidate will possess strong Python development skills, hands-on experience with PySpark and big data ecosystems, expertise in both relational and NoSQL databases, and a solid understanding of data science and machine learning workflows. This individual will collaborate closely with data scientists, architects, product teams, and global engineering teams to deliver scalable, high-performance solutions that drive business outcomes.<\/p>\n\n\n\n

This role requires both strong technical execution and the ability to collaborate effectively across distributed teams, including offshore and international stakeholders.<\/p>\n\n\n\n

Key Responsibilities<\/mark><\/h3>\n\n\n\n

Python Application Development<\/strong><\/p>\n\n\n\n

    \n
  • Design, develop, and maintain scalable Python applications and services.<\/li>\n\n\n\n
  • Build reusable, maintainable, and well-documented code components.<\/li>\n\n\n\n
  • Develop backend services and APIs using Django and\/or Flask.<\/li>\n\n\n\n
  • Participate in architecture reviews and technical design discussions.<\/li>\n\n\n\n
  • Troubleshoot and optimize production systems.<\/li>\n<\/ul>\n\n\n\n

    Big Data Engineering<\/strong><\/p>\n\n\n\n

      \n
    • Develop and optimize large-scale data processing pipelines using PySpark.<\/li>\n\n\n\n
    • Process, transform, and analyze large structured and unstructured datasets.<\/li>\n\n\n\n
    • Build scalable ETL and data ingestion frameworks.<\/li>\n\n\n\n
    • Optimize distributed data processing workloads for performance and reliability.<\/li>\n\n\n\n
    • Handle large-volume datasets across enterprise environments.<\/li>\n<\/ul>\n\n\n\n

      Data Science & Machine Learning<\/strong><\/p>\n\n\n\n

        \n
      • Implement data science algorithms and predictive models in production environments.<\/li>\n\n\n\n
      • Collaborate with data scientists to operationalize machine learning solutions.<\/li>\n\n\n\n
      • Develop and optimize ML pipelines using scikit-learn and related libraries.<\/li>\n\n\n\n
      • Support model deployment, validation, and monitoring processes.<\/li>\n\n\n\n
      • Translate analytical requirements into scalable engineering solutions.<\/li>\n<\/ul>\n\n\n\n

        Data Processing & Analytics<\/strong><\/p>\n\n\n\n

          \n
        • Perform complex data wrangling, cleansing, and transformation activities.<\/li>\n\n\n\n
        • Build data pipelines utilizing:<\/li>\n\n\n\n
        • Pandas<\/li>\n\n\n\n
        • NumPy<\/li>\n\n\n\n
        • PyArrow<\/li>\n\n\n\n
        • PySpark<\/li>\n\n\n\n
        • Improve data quality, consistency, and processing efficiency.<\/li>\n\n\n\n
        • Develop solutions for handling large-scale datasets and analytical workloads.<\/li>\n<\/ul>\n\n\n\n

          API Development<\/strong><\/p>\n\n\n\n

            \n
          • Design and develop RESTful APIs supporting high-volume data operations.<\/li>\n\n\n\n
          • Build secure, scalable services capable of handling significant throughput.<\/li>\n\n\n\n
          • Implement API monitoring, logging, and performance optimization.<\/li>\n\n\n\n
          • Support integrations with internal and external systems.<\/li>\n<\/ul>\n\n\n\n

            Database Development<\/strong><\/p>\n\n\n\n

              \n
            • Design and optimize data access patterns across relational and NoSQL databases.<\/li>\n\n\n\n
            • Work with:<\/li>\n\n\n\n
            • PostgreSQL<\/li>\n\n\n\n
            • MySQL<\/li>\n\n\n\n
            • SQL Server<\/li>\n\n\n\n
            • Oracle<\/li>\n\n\n\n
            • Develop efficient SQL queries and database integrations.<\/li>\n\n\n\n
            • Work with NoSQL platforms such as:<\/li>\n\n\n\n
            • Cassandra<\/li>\n\n\n\n
            • HBase<\/li>\n\n\n\n
            • Similar distributed data stores<\/li>\n<\/ul>\n\n\n\n

              Software Engineering Excellence<\/strong><\/p>\n\n\n\n

                \n
              • Follow established coding standards and software development best practices.<\/li>\n\n\n\n
              • Develop automated unit, integration, and regression tests.<\/li>\n\n\n\n
              • Participate in peer code reviews and architecture reviews.<\/li>\n\n\n\n
              • Ensure solutions meet performance, scalability, and maintainability requirements.<\/li>\n\n\n\n
              • Contribute to CI\/CD and DevOps best practices.<\/li>\n<\/ul>\n\n\n\n

                Collaboration & Leadership<\/strong><\/p>\n\n\n\n

                  \n
                • Partner with product managers, architects, data scientists, business stakeholders, and engineering teams.<\/li>\n\n\n\n
                • Collaborate with onsite and offshore teams across multiple time zones.<\/li>\n\n\n\n
                • Participate in Agile ceremonies and planning activities.<\/li>\n\n\n\n
                • Mentor junior developers and provide technical guidance.<\/li>\n\n\n\n
                • Drive technical discussions and influence engineering direction.<\/li>\n<\/ul>\n\n\n\n

                  Required Qualifications<\/h3>\n\n\n\n

                  Experience<\/strong><\/p>\n\n\n\n

                    \n
                  • 8+ years of professional Python development experience.<\/li>\n\n\n\n
                  • Proven experience developing enterprise-scale applications and data processing solutions.<\/li>\n\n\n\n
                  • Experience working with large-scale datasets and big data platforms.<\/li>\n\n\n\n
                  • Experience collaborating across global and distributed teams.<\/li>\n<\/ul>\n\n\n\n

                    Python Development<\/strong><\/p>\n\n\n\n

                      \n
                    • Expert-level Python programming skills.<\/li>\n\n\n\n
                    • Strong understanding of object-oriented programming principles.<\/li>\n\n\n\n
                    • Experience developing scalable and maintainable applications.<\/li>\n<\/ul>\n\n\n\n

                      Frameworks<\/strong><\/p>\n\n\n\n

                      Strong experience with:<\/p>\n\n\n\n

                        \n
                      • Django<\/li>\n\n\n\n
                      • Flask<\/li>\n<\/ul>\n\n\n\n

                        Experience building production-grade REST APIs.<\/p>\n\n\n\n

                        Big Data Technologies<\/strong><\/p>\n\n\n\n

                          \n
                        • Strong hands-on experience with:<\/li>\n\n\n\n
                        • PySpark<\/li>\n\n\n\n
                        • Distributed data processing<\/li>\n\n\n\n
                        • Large-scale ETL pipelines<\/li>\n\n\n\n
                        • Experience handling high-volume datasets.<\/li>\n<\/ul>\n\n\n\n

                          Data Science & Machine Learning<\/strong><\/p>\n\n\n\n

                            \n
                          • Experience implementing and operationalizing data science algorithms.<\/li>\n\n\n\n
                          • Hands-on experience with:<\/li>\n\n\n\n
                          • scikit-learn<\/li>\n\n\n\n
                          • Machine learning workflows<\/li>\n\n\n\n
                          • Model integration and deployment<\/li>\n<\/ul>\n\n\n\n

                            Data Processing Libraries<\/strong><\/p>\n\n\n\n

                            Experience using:<\/p>\n\n\n\n

                              \n
                            • Pandas<\/li>\n\n\n\n
                            • NumPy<\/li>\n\n\n\n
                            • PyArrow<\/li>\n\n\n\n
                            • Other Python data processing libraries<\/li>\n<\/ul>\n\n\n\n

                              Databases<\/strong><\/p>\n\n\n\n

                              Strong experience with relational databases:<\/p>\n\n\n\n

                                \n
                              • PostgreSQL<\/li>\n\n\n\n
                              • SQL Server<\/li>\n\n\n\n
                              • Oracle<\/li>\n\n\n\n
                              • MySQL<\/li>\n<\/ul>\n\n\n\n

                                Strong SQL development skills.<\/p>\n\n\n\n

                                NoSQL Databases<\/p>\n\n\n\n

                                Experience with:<\/p>\n\n\n\n

                                  \n
                                • Cassandra<\/li>\n\n\n\n
                                • HBase<\/li>\n\n\n\n
                                • Other distributed NoSQL platforms<\/li>\n<\/ul>\n\n\n\n

                                  Engineering Practices<\/p>\n\n\n\n

                                  Strong commitment to:<\/p>\n\n\n\n

                                    \n
                                  • Automated testing<\/li>\n\n\n\n
                                  • Code reviews<\/li>\n\n\n\n
                                  • CI\/CD<\/li>\n\n\n\n
                                  • Source control<\/li>\n\n\n\n
                                  • Software engineering best practices<\/li>\n<\/ul>\n\n\n\n

                                    <\/p>","protected":false},"excerpt":{"rendered":"

                                    Summary We are seeking a Senior Python Data Engineer with deep expertise in large-scale data processing, distributed computing, and backend application development. This role is ideal for an experienced engineer who has built data-intensive applications, implemented data science and machine learning solutions, and developed highly scalable APIs capable of handling large data volumes. The ideal […]<\/p>\n","protected":false},"author":2,"template":"","meta":[],"class_list":["post-11490","awsm_job_openings","type-awsm_job_openings","status-publish","hentry","job-category-it","job-type-contractor","job-type-full-time","job-type-usd-payment","job-location-argentina","job-location-brazil","job-location-colombia","job-location-costa-rica","job-location-latam","job-location-peru","job-location-remote"],"_links":{"self":[{"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/awsm_job_openings\/11490","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/awsm_job_openings"}],"about":[{"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/types\/awsm_job_openings"}],"author":[{"embeddable":true,"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/users\/2"}],"version-history":[{"count":1,"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/awsm_job_openings\/11490\/revisions"}],"predecessor-version":[{"id":11491,"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/awsm_job_openings\/11490\/revisions\/11491"}],"wp:attachment":[{"href":"https:\/\/teamup.tech\/en\/wp-json\/wp\/v2\/media?parent=11490"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}