{"schemaVersion":"jobsearcher.job.v1","id":"c8981604d97d68e9441c46c1","url":"https://jobsearcher.com/jobs/c8981604d97d68e9441c46c1","canonicalUrl":"https://jobsearcher.com/jobs/c8981604d97d68e9441c46c1","title":"Data Engineer II (AWS & Python) - Remote","description":"About the CompanyProxify is a platform that connects experienced developers worldwide with remote, full-time opportunities at companies seeking technical talent. It offers long-term remote positions and a streamlined contracting process, matching developers with opportunities aligned with their skills and experience.About the RoleProxify is seeking a Senior Data Engineer with strong expertise in Python, Amazon Web Services (AWS), and modern cloud-native data platforms. In this role, you will design, build, and optimize scalable ETL/ELT pipelines and cloud data warehouses that support analytics, machine learning, and business intelligence. You will also contribute to data architecture, performance optimization, infrastructure automation, and data quality standards across client projects.Key ResponsibilitiesArchitect, develop, and maintain scalable ETL/ELT pipelines using Python and native AWS services to ingest data from APIs, databases, streaming services, and other sources into data lakes and warehouses.Provide technical expertise across core AWS data services, including S3, Glue, EMR, Kinesis/MSK, and Redshift or Amazon Aurora.Design efficient data models, including star schemas, snowflake schemas, and data vaults, to support analytical and reporting requirements.Optimize queries and improve performance when processing large datasets in cloud data warehouses.Implement infrastructure as code using Terraform or CloudFormation.Integrate data pipelines into modern continuous integration and continuous delivery (CI/CD) processes.Establish data quality monitoring, logging, alerting, and governance standards across the data platform.Build reliable data solutions that support client analytics, machine learning, and business intelligence needs.Required QualificationsAt least five years of professional experience in data engineering.Expert proficiency in Python for data manipulation, scripting, and pipeline development, including tools such as Pandas or PySpark.Hands-on experience with AWS data services, particularly S3, Glue, Lambda, and EMR.Experience with modern data warehouses such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse.Strong SQL skills, including complex query development and optimization.A solid understanding of containerization and orchestration concepts, including Docker and Kubernetes.Ability to design and maintain scalable, reliable data pipelines and cloud-based data platforms.Must be located within the Central European Time (CET) time zone, within three hours either side. Applications from candidates outside this time-zone range cannot be considered.Preferred QualificationsExperience with infrastructure as code tools such as Terraform or CloudFormation.Proficiency with data orchestration tools such as Apache Airflow.Familiarity with data streaming technologies, including Kafka, Kinesis, or Flink.Relevant AWS certifications.Compensation and BenefitsProxify offers consistent monthly payments with flexible withdrawal options for positions secured through its platform.Full-time positions include up to 24 paid flex days off per year.Projects are structured around consistent eight-hour working days to support work-life balance.Developers can access long-term remote opportunities with companies working on modern technologies.Proxify offers a streamlined contracting process intended to connect developers with multiple opportunities without requiring additional assessments for each opportunity.Work ArrangementWork arrangement: Remote.Employment type: Full-time opportunities.Time-zone requirement: CET, within plus or minus three hours.Compensation details: Specific salary figures are not provided; monthly pay is consistent for positions secured through Proxify.","company":"Torentify","rawCompany":"torentify","city":"New York","state":"NY","isRemote":true,"isActive":false,"createdAt":"2026-10-19T11:05:58.940Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"Data Engineer II (AWS & Python) - Remote","description":"About the CompanyProxify is a platform that connects experienced developers worldwide with remote, full-time opportunities at companies seeking technical talent. It offers long-term remote positions and a streamlined contracting process, matching developers with opportunities aligned with their skills and experience.About the RoleProxify is seeking a Senior Data Engineer with strong expertise in Python, Amazon Web Services (AWS), and modern cloud-native data platforms. In this role, you will design, build, and optimize scalable ETL/ELT pipelines and cloud data warehouses that support analytics, machine learning, and business intelligence. You will also contribute to data architecture, performance optimization, infrastructure automation, and data quality standards across client projects.Key ResponsibilitiesArchitect, develop, and maintain scalable ETL/ELT pipelines using Python and native AWS services to ingest data from APIs, databases, streaming services, and other sources into data lakes and warehouses.Provide technical expertise across core AWS data services, including S3, Glue, EMR, Kinesis/MSK, and Redshift or Amazon Aurora.Design efficient data models, including star schemas, snowflake schemas, and data vaults, to support analytical and reporting requirements.Optimize queries and improve performance when processing large datasets in cloud data warehouses.Implement infrastructure as code using Terraform or CloudFormation.Integrate data pipelines into modern continuous integration and continuous delivery (CI/CD) processes.Establish data quality monitoring, logging, alerting, and governance standards across the data platform.Build reliable data solutions that support client analytics, machine learning, and business intelligence needs.Required QualificationsAt least five years of professional experience in data engineering.Expert proficiency in Python for data manipulation, scripting, and pipeline development, including tools such as Pandas or PySpark.Hands-on experience with AWS data services, particularly S3, Glue, Lambda, and EMR.Experience with modern data warehouses such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse.Strong SQL skills, including complex query development and optimization.A solid understanding of containerization and orchestration concepts, including Docker and Kubernetes.Ability to design and maintain scalable, reliable data pipelines and cloud-based data platforms.Must be located within the Central European Time (CET) time zone, within three hours either side. Applications from candidates outside this time-zone range cannot be considered.Preferred QualificationsExperience with infrastructure as code tools such as Terraform or CloudFormation.Proficiency with data orchestration tools such as Apache Airflow.Familiarity with data streaming technologies, including Kafka, Kinesis, or Flink.Relevant AWS certifications.Compensation and BenefitsProxify offers consistent monthly payments with flexible withdrawal options for positions secured through its platform.Full-time positions include up to 24 paid flex days off per year.Projects are structured around consistent eight-hour working days to support work-life balance.Developers can access long-term remote opportunities with companies working on modern technologies.Proxify offers a streamlined contracting process intended to connect developers with multiple opportunities without requiring additional assessments for each opportunity.Work ArrangementWork arrangement: Remote.Employment type: Full-time opportunities.Time-zone requirement: CET, within plus or minus three hours.Compensation details: Specific salary figures are not provided; monthly pay is consistent for positions secured through Proxify.","datePosted":"2026-10-19T11:05:58.940Z","dateModified":"2026-10-19T11:05:58.940Z","hiringOrganization":{"@type":"Organization","name":"Torentify","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c8981604d97d68e9441c46c1"},"url":"https://jobsearcher.com/jobs/c8981604d97d68e9441c46c1"}}