{"schemaVersion":"jobsearcher.job.v1","id":"85d2f5c062d9dce989722fa0","url":"https://jobsearcher.com/jobs/85d2f5c062d9dce989722fa0","canonicalUrl":"https://jobsearcher.com/jobs/85d2f5c062d9dce989722fa0","title":"Data Engineer (Python / Power BI / Cloud)","description":"Location Requirement\nThis is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.\nPosition Overview\nWe are seeking a well-rounded Data Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection of data engineering, analytics, and stakeholder collaboration, and will play a key role in delivering high-quality, data-driven insights across the organization.\nThe ideal candidate is hands-on with Python, SQL, and ETL development, while also being comfortable building Power BI dashboards and partnering with cross-functional teams in an Agile environment.\nKey Responsibilities\nDesign, develop, and maintain secure and scalable data pipelines and ETL processes\nBuild and optimize data models to support analytics and reporting use cases\nDevelop Power BI dashboards and reports to deliver actionable insights\nCollaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions\nParticipate in Agile ceremonies and project meetings, ensuring alignment on deliverables, timelines, and quality standards\nImplement data quality controls and ensure accuracy, consistency, and reliability of data outputs\nDevelop and maintain Python scripts for data extraction, transformation, and automation\nSupport metric development and reporting automation initiatives\nContribute to infrastructure-related activities, including deployments and environment support\nCreate and maintain technical documentation (e.g., Confluence)\nProvide regular updates on progress, risks, and dependencies to stakeholders\nRequired Qualifications\n4–6+ years of experience in data engineering or related field\nStrong experience with Python and SQL\nHands-on experience building and maintaining ETL/data pipelines\nExperience with data modeling and working with structured datasets\nExperience with Power BI (dashboard development and reporting)\nFamiliarity with cloud platforms (AWS, Azure, or GCP)\nExperience working in Agile environments with cross-functional teams\nStrong problem-solving skills and attention to detail\nExcellent communication skills with the ability to work with both technical and non-technical stakeholders\nPreferred Qualifications\nExperience with data automation and metric standardization\nExposure to infrastructure deployments or DevOps practices\nExperience with Confluence or similar documentation tools\nPrior experience supporting enterprise reporting or analytics initiatives","company":"Tsg Risk Management","rawCompany":"tsg risk management","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-05T11:50:18.817Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"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":"Data Engineer (Python / Power BI / Cloud)","description":"Location Requirement\nThis is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.\nPosition Overview\nWe are seeking a well-rounded Data Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection of data engineering, analytics, and stakeholder collaboration, and will play a key role in delivering high-quality, data-driven insights across the organization.\nThe ideal candidate is hands-on with Python, SQL, and ETL development, while also being comfortable building Power BI dashboards and partnering with cross-functional teams in an Agile environment.\nKey Responsibilities\nDesign, develop, and maintain secure and scalable data pipelines and ETL processes\nBuild and optimize data models to support analytics and reporting use cases\nDevelop Power BI dashboards and reports to deliver actionable insights\nCollaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions\nParticipate in Agile ceremonies and project meetings, ensuring alignment on deliverables, timelines, and quality standards\nImplement data quality controls and ensure accuracy, consistency, and reliability of data outputs\nDevelop and maintain Python scripts for data extraction, transformation, and automation\nSupport metric development and reporting automation initiatives\nContribute to infrastructure-related activities, including deployments and environment support\nCreate and maintain technical documentation (e.g., Confluence)\nProvide regular updates on progress, risks, and dependencies to stakeholders\nRequired Qualifications\n4–6+ years of experience in data engineering or related field\nStrong experience with Python and SQL\nHands-on experience building and maintaining ETL/data pipelines\nExperience with data modeling and working with structured datasets\nExperience with Power BI (dashboard development and reporting)\nFamiliarity with cloud platforms (AWS, Azure, or GCP)\nExperience working in Agile environments with cross-functional teams\nStrong problem-solving skills and attention to detail\nExcellent communication skills with the ability to work with both technical and non-technical stakeholders\nPreferred Qualifications\nExperience with data automation and metric standardization\nExposure to infrastructure deployments or DevOps practices\nExperience with Confluence or similar documentation tools\nPrior experience supporting enterprise reporting or analytics initiatives","datePosted":"2026-08-05T11:50:18.817Z","dateModified":"2026-08-05T11:50:18.817Z","hiringOrganization":{"@type":"Organization","name":"Tsg Risk Management","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"85d2f5c062d9dce989722fa0"},"url":"https://jobsearcher.com/jobs/85d2f5c062d9dce989722fa0"}}