{"schemaVersion":"jobsearcher.job.v1","id":"33807987d8b1d93f43027ff6","url":"https://jobsearcher.com/jobs/33807987d8b1d93f43027ff6","canonicalUrl":"https://jobsearcher.com/jobs/33807987d8b1d93f43027ff6","title":"Python Engineer","description":"Python/S3 Engineer 18 Month W2Contract Hybrid 3 days onsite Plano | Jersey City | Charlotte $68/hour Candidate should understand how to leverage AI to improve efficiency, AI should not be required for candidates to demonstrate their technical knowledge and skills during the interview process. Please screen candidates accordingly prior to submission.Role OverviewEnterprise Finance Technology's AI, Data & Platform Services Technology (ADAPT) Team is seeking a motivated Data Engineer to help develop and support a modern enterprise data platform built on Python, Apache Airflow, S3-compatible object storage, Apache Iceberg, and Starburst.The Data Engineer will design, develop, and maintain data ingestion and transformation pipelines that create governed, scalable, and reusable data products. The engineer will:Build and maintain Apache Airflow DAGsOnboard new data sourcesEstablish and maintain data connectivityCreate and manage Apache Iceberg tablesMake curated datasets available for enterprise analytics and reportingDevelop automated data workflows to replace manual processesPromote data quality, reliability, and operational efficiencyThe successful candidate will contribute to strategic modernization initiatives and work closely with platform engineering teams, application owners, and business stakeholders in an Agile environment.The candidate will function as both an individual contributor and an active member of a globally distributed team.Required Qualifications3–5 years of hands-on experience developing data engineering solutions using Python2+ years of experience developing and supporting Apache Airflow DAGs in production environmentsExperience designing, developing, and supporting data pipelines and automated workflow solutionsExperience with S3-compatible object storage platforms or cloud object storage technologiesExperience creating, managing, and troubleshooting Apache Iceberg tables or similar modern table formatsExperience connecting to and integrating data from enterprise platforms such as:OracleSQL ServerHiveTeradataPostgreSQLSimilar enterprise database platformsProficiency working in Linux/Unix environments, including shell scriptingExperience with Git/source control and collaborative software development practicesUnderstanding of data lakehouse and modern data platform conceptsWorking knowledge of SQL and database design conceptsUnderstanding of Agile software development methodologiesStrong analytical, troubleshooting, and problem-solving skillsExcellent written and verbal communication skillsBachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related STEM disciplinePreferred Skills & ExperienceExperience with Starburst, Trino, or PrestoFamiliarity with Hadoop ecosystem technologies, including Hive and HDFSExperience with CI/CD pipelines and automation tools, such as:JenkinsGitHub ActionsBitbucket PipelinesAnsibleExperience implementing data quality, monitoring, and observability solutionsKnowledge of data governance, metadata management, and data lineageExperience supporting large-scale analytical data platformsExposure to container-based platforms such as Kubernetes or OpenShiftUnderstanding of enterprise security controls, authentication mechanisms, encryption standards, and access managementExposure to reporting, analytics, AI, or machine learning data platformsCore Technology StackPrimary: Python, Apache Airflow, Apache Iceberg, S3/Object Storage, StarburstDatabases & Data Platforms: Oracle, SQL Server, PostgreSQL, Teradata, Hive, HDFSQuery Technologies: SQL, Starburst, Trino, PrestoDevelopment & DevOps: Git, Jenkins, GitHub Actions, Bitbucket Pipelines, AnsibleInfrastructure: Linux/Unix, Kubernetes, OpenShiftData Engineering: Data Pipelines, Data Lakehouse, Data Quality, Data Governance, Metadata, Data Lineage, Monitoring & Observability","company":"Matlen Silver","rawCompany":"matlen silver","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-06T05:14:38.857Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-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"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Engineer","description":"Python/S3 Engineer 18 Month W2Contract Hybrid 3 days onsite Plano | Jersey City | Charlotte $68/hour Candidate should understand how to leverage AI to improve efficiency, AI should not be required for candidates to demonstrate their technical knowledge and skills during the interview process. Please screen candidates accordingly prior to submission.Role OverviewEnterprise Finance Technology's AI, Data & Platform Services Technology (ADAPT) Team is seeking a motivated Data Engineer to help develop and support a modern enterprise data platform built on Python, Apache Airflow, S3-compatible object storage, Apache Iceberg, and Starburst.The Data Engineer will design, develop, and maintain data ingestion and transformation pipelines that create governed, scalable, and reusable data products. The engineer will:Build and maintain Apache Airflow DAGsOnboard new data sourcesEstablish and maintain data connectivityCreate and manage Apache Iceberg tablesMake curated datasets available for enterprise analytics and reportingDevelop automated data workflows to replace manual processesPromote data quality, reliability, and operational efficiencyThe successful candidate will contribute to strategic modernization initiatives and work closely with platform engineering teams, application owners, and business stakeholders in an Agile environment.The candidate will function as both an individual contributor and an active member of a globally distributed team.Required Qualifications3–5 years of hands-on experience developing data engineering solutions using Python2+ years of experience developing and supporting Apache Airflow DAGs in production environmentsExperience designing, developing, and supporting data pipelines and automated workflow solutionsExperience with S3-compatible object storage platforms or cloud object storage technologiesExperience creating, managing, and troubleshooting Apache Iceberg tables or similar modern table formatsExperience connecting to and integrating data from enterprise platforms such as:OracleSQL ServerHiveTeradataPostgreSQLSimilar enterprise database platformsProficiency working in Linux/Unix environments, including shell scriptingExperience with Git/source control and collaborative software development practicesUnderstanding of data lakehouse and modern data platform conceptsWorking knowledge of SQL and database design conceptsUnderstanding of Agile software development methodologiesStrong analytical, troubleshooting, and problem-solving skillsExcellent written and verbal communication skillsBachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related STEM disciplinePreferred Skills & ExperienceExperience with Starburst, Trino, or PrestoFamiliarity with Hadoop ecosystem technologies, including Hive and HDFSExperience with CI/CD pipelines and automation tools, such as:JenkinsGitHub ActionsBitbucket PipelinesAnsibleExperience implementing data quality, monitoring, and observability solutionsKnowledge of data governance, metadata management, and data lineageExperience supporting large-scale analytical data platformsExposure to container-based platforms such as Kubernetes or OpenShiftUnderstanding of enterprise security controls, authentication mechanisms, encryption standards, and access managementExposure to reporting, analytics, AI, or machine learning data platformsCore Technology StackPrimary: Python, Apache Airflow, Apache Iceberg, S3/Object Storage, StarburstDatabases & Data Platforms: Oracle, SQL Server, PostgreSQL, Teradata, Hive, HDFSQuery Technologies: SQL, Starburst, Trino, PrestoDevelopment & DevOps: Git, Jenkins, GitHub Actions, Bitbucket Pipelines, AnsibleInfrastructure: Linux/Unix, Kubernetes, OpenShiftData Engineering: Data Pipelines, Data Lakehouse, Data Quality, Data Governance, Metadata, Data Lineage, Monitoring & Observability","datePosted":"2026-10-06T05:14:38.857Z","dateModified":"2026-10-06T05:14:38.857Z","hiringOrganization":{"@type":"Organization","name":"Matlen Silver","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"33807987d8b1d93f43027ff6"},"url":"https://jobsearcher.com/jobs/33807987d8b1d93f43027ff6"}}