{"schemaVersion":"jobsearcher.job.v1","id":"67749a9f71d64a3ffe0bc9ec","url":"https://jobsearcher.com/jobs/67749a9f71d64a3ffe0bc9ec","canonicalUrl":"https://jobsearcher.com/jobs/67749a9f71d64a3ffe0bc9ec","title":"Senior ML Engineer","description":"ML ( Machine Learning ) Engineers\nSet up and manage Unity Catalog in Databricks to organize and secure data access across teams\nDesign and operationalize Feature Stores to support machine learning models in production\nBuild efficient data pipelines to process and serve features to ML workflows\nCollaborate with teams using Databricks, Azure Cosmos DB, and other Azure tools to integrate data solutions\nMonitor and optimize the performance of pipelines and feature stores\nWhat We are Looking For -\nStrong experience with Unity Catalog in Databricks for managing data assets and access control\nHands-on experience working with Databricks Feature Store or similar solutions\nKnowledge of building and maintaining scalable ETL pipelines in Databricks\nFamiliarity with Azure tools like Azure Cosmos DB and ACR\nUnderstanding of machine learning workflows and how feature stores fit into the pipeline\nStrong problem-solving skills and a collaborative mindset\nProficiency in Python and Spark for data engineering tasks\nExperience with monitoring tools like Splunk or Datadog to ensure system reliability\nFamiliarity with AKS for deploying and managing containers\nJob Type: Contract\nPay: $60.00 - $65.00 per hour\nWork Location: Remote","company":"Iconvergence","rawCompany":"iconvergence","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T14:55:39.213Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Senior ML Engineer","description":"ML ( Machine Learning ) Engineers\nSet up and manage Unity Catalog in Databricks to organize and secure data access across teams\nDesign and operationalize Feature Stores to support machine learning models in production\nBuild efficient data pipelines to process and serve features to ML workflows\nCollaborate with teams using Databricks, Azure Cosmos DB, and other Azure tools to integrate data solutions\nMonitor and optimize the performance of pipelines and feature stores\nWhat We are Looking For -\nStrong experience with Unity Catalog in Databricks for managing data assets and access control\nHands-on experience working with Databricks Feature Store or similar solutions\nKnowledge of building and maintaining scalable ETL pipelines in Databricks\nFamiliarity with Azure tools like Azure Cosmos DB and ACR\nUnderstanding of machine learning workflows and how feature stores fit into the pipeline\nStrong problem-solving skills and a collaborative mindset\nProficiency in Python and Spark for data engineering tasks\nExperience with monitoring tools like Splunk or Datadog to ensure system reliability\nFamiliarity with AKS for deploying and managing containers\nJob Type: Contract\nPay: $60.00 - $65.00 per hour\nWork Location: Remote","datePosted":"2026-08-04T14:55:39.213Z","dateModified":"2026-08-04T14:55:39.213Z","hiringOrganization":{"@type":"Organization","name":"Iconvergence","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"67749a9f71d64a3ffe0bc9ec"},"url":"https://jobsearcher.com/jobs/67749a9f71d64a3ffe0bc9ec"}}