{"schemaVersion":"jobsearcher.job.v1","id":"dcfdc8b533cf9fcd48c1d0bc","url":"https://jobsearcher.com/jobs/dcfdc8b533cf9fcd48c1d0bc","canonicalUrl":"https://jobsearcher.com/jobs/dcfdc8b533cf9fcd48c1d0bc","title":"Data Engineer","description":"Data Engineer\nLocation: Orlando, FL (Hybrid - 1 day onsite, 4 days remote)\nDuration: 3-6+ month contract\nRole Overview\nWe are seeking a Data Engineer to support the Finance and BI teams by automating and optimizing data pipelines within a Snowflake environment. The role will focus on converting manually executed SQL processes into scalable, scheduled workflows using Azure Data Factory (ADF), ensuring reliable and efficient data delivery across critical reporting systems.\nKey Responsibilities\nDesign, build, and maintain ADF pipelines to orchestrate and automate data workflows.\nConvert existing manual SQL/Snowflake processes into scheduled, production‑ready jobs.\nIntegrate and manage data flows between Epic Clarity, Snowflake, and Azure environments.\nModify and optimize Snowflake tables and queries to meet evolving business needs.\nCollaborate with BI and Finance teams to support reporting and analytics requirements.\nEnsure pipeline performance is scalable, reliable, and efficient.\nRequired Skills\nStrong proficiency in SQL and data engineering fundamentals.\nHands‑on experience with Snowflake (tables, queries, optimization).\nExpertise in Azure Data Factory (ADF) - pipeline creation, scheduling, orchestration.\nExperience working in Azure cloud environments.\nFamiliarity with Epic Clarity (Epic’s SQL‑based reporting database).","company":"Stellar It Solutions","rawCompany":"stellar it solutions","city":"Orlando","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-08-19T16:02:50.266Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Data Engineer\nLocation: Orlando, FL (Hybrid - 1 day onsite, 4 days remote)\nDuration: 3-6+ month contract\nRole Overview\nWe are seeking a Data Engineer to support the Finance and BI teams by automating and optimizing data pipelines within a Snowflake environment. The role will focus on converting manually executed SQL processes into scalable, scheduled workflows using Azure Data Factory (ADF), ensuring reliable and efficient data delivery across critical reporting systems.\nKey Responsibilities\nDesign, build, and maintain ADF pipelines to orchestrate and automate data workflows.\nConvert existing manual SQL/Snowflake processes into scheduled, production‑ready jobs.\nIntegrate and manage data flows between Epic Clarity, Snowflake, and Azure environments.\nModify and optimize Snowflake tables and queries to meet evolving business needs.\nCollaborate with BI and Finance teams to support reporting and analytics requirements.\nEnsure pipeline performance is scalable, reliable, and efficient.\nRequired Skills\nStrong proficiency in SQL and data engineering fundamentals.\nHands‑on experience with Snowflake (tables, queries, optimization).\nExpertise in Azure Data Factory (ADF) - pipeline creation, scheduling, orchestration.\nExperience working in Azure cloud environments.\nFamiliarity with Epic Clarity (Epic’s SQL‑based reporting database).","datePosted":"2026-08-19T16:02:50.266Z","dateModified":"2026-08-19T16:02:50.266Z","hiringOrganization":{"@type":"Organization","name":"Stellar It Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Orlando","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dcfdc8b533cf9fcd48c1d0bc"},"url":"https://jobsearcher.com/jobs/dcfdc8b533cf9fcd48c1d0bc"}}