{"schemaVersion":"jobsearcher.job.v1","id":"b88f9ee6493961985c72417c","url":"https://jobsearcher.com/jobs/b88f9ee6493961985c72417c","canonicalUrl":"https://jobsearcher.com/jobs/b88f9ee6493961985c72417c","title":"Data Engineer - Snowflake","description":"Role : Data Engineer – SnowflakeLocation : Addison, TX Interview Mode: On-SiteDuration : 03 month (Contract to Hire)Description:Building a cloud-native analytics platform on Azure and Snowflake to support our business operations. The data engineer owns the pipelines that make it run — ingesting data from our core source systems, transforming it through a Bronze/Silver/Gold medallion architecture, and keeping it reliable in production. This is hands-on engineering work: you will build, not just advise.What You'll OwnBuild and maintain ELT pipelines in Azure Data Factory (ADF) ingesting data disparate data sources into Azure Data Lake Storage Gen2Implement Snowflake Bronze → Silver → Gold layer transformations: incremental loads, SCD Type 2, and fact/dimension modeling aligned to business requirementsWrite and optimize T-SQL against SQL Server for performant source extraction without disrupting operational workloadsMaintain pipeline monitoring, alerting, and error recovery — pipelines support 24/7 revenue operations and uptime mattersHandle PHI/PII data in full compliance with HIPAA: field masking, access controls, and audit-ready data handling at every layerCollaborate with our AI/ML engineer to ensure Silver layer data structures are ML-ready and consistently documentedMust-Have SkillsAzure Data Factory and ADLS Gen2 — production pipeline experience, not just training exercisesSnowflake — tasks, streams, incremental loading, query optimization, RBAC basicsSQL Server / T-SQL — strong enough to write efficient extraction queries against a complex operational schemaAdvanced SQL — window functions, CTEs, SCD Type 2 implementationETL/ELT patterns — incremental load design, idempotency, error handlingNice to HaveHealthcare data experiencePython for transformation utilities or pipeline testingdbt for Silver/Gold layer managementAzure DevOps / CI/CD for pipeline deploymentQualifications5-8+ years of data engineering experience with at least 2 years on AzureDemonstrated Snowflake production experienceBachelor's in CS, Information Systems, or equivalent experienceExperience working with regulated data (HIPAA, PCI, or similar)","company":"Techstar Group","rawCompany":"techstar group","city":"Addison","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-15T09:53:37.375Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"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 - Snowflake","description":"Role : Data Engineer – SnowflakeLocation : Addison, TX Interview Mode: On-SiteDuration : 03 month (Contract to Hire)Description:Building a cloud-native analytics platform on Azure and Snowflake to support our business operations. The data engineer owns the pipelines that make it run — ingesting data from our core source systems, transforming it through a Bronze/Silver/Gold medallion architecture, and keeping it reliable in production. This is hands-on engineering work: you will build, not just advise.What You'll OwnBuild and maintain ELT pipelines in Azure Data Factory (ADF) ingesting data disparate data sources into Azure Data Lake Storage Gen2Implement Snowflake Bronze → Silver → Gold layer transformations: incremental loads, SCD Type 2, and fact/dimension modeling aligned to business requirementsWrite and optimize T-SQL against SQL Server for performant source extraction without disrupting operational workloadsMaintain pipeline monitoring, alerting, and error recovery — pipelines support 24/7 revenue operations and uptime mattersHandle PHI/PII data in full compliance with HIPAA: field masking, access controls, and audit-ready data handling at every layerCollaborate with our AI/ML engineer to ensure Silver layer data structures are ML-ready and consistently documentedMust-Have SkillsAzure Data Factory and ADLS Gen2 — production pipeline experience, not just training exercisesSnowflake — tasks, streams, incremental loading, query optimization, RBAC basicsSQL Server / T-SQL — strong enough to write efficient extraction queries against a complex operational schemaAdvanced SQL — window functions, CTEs, SCD Type 2 implementationETL/ELT patterns — incremental load design, idempotency, error handlingNice to HaveHealthcare data experiencePython for transformation utilities or pipeline testingdbt for Silver/Gold layer managementAzure DevOps / CI/CD for pipeline deploymentQualifications5-8+ years of data engineering experience with at least 2 years on AzureDemonstrated Snowflake production experienceBachelor's in CS, Information Systems, or equivalent experienceExperience working with regulated data (HIPAA, PCI, or similar)","datePosted":"2026-07-15T09:53:37.375Z","dateModified":"2026-07-15T09:53:37.375Z","hiringOrganization":{"@type":"Organization","name":"Techstar Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Addison","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b88f9ee6493961985c72417c"},"url":"https://jobsearcher.com/jobs/b88f9ee6493961985c72417c"}}