{"schemaVersion":"jobsearcher.job.v1","id":"db23e87958ba8f542131240b","url":"https://jobsearcher.com/jobs/db23e87958ba8f542131240b","canonicalUrl":"https://jobsearcher.com/jobs/db23e87958ba8f542131240b","title":"Databricks Engineer","description":"Type: Contract-to-Hire (flexible based on candidate preference)\nJob Summary:\nWe are seeking a highly skilled Databricks Engineer to support the design, development, and optimization of large-scale data processing pipelines and machine learning workflows using the Databricks Lakehouse platform. This role requires expertise in Spark, Delta Lake, and a strong understanding of cloud-native data architectures (AWS).\nKey Responsibilities:\nDesign and implement scalable ETL/ELT pipelines using PySpark and Databricks notebooks.\nOptimize performance across Delta Lake tables, jobs, and clusters.\nIntegrate Databricks with external tools and services (e.g., Azure Data Factory, AWS Glue, Kafka, Snowflake).\nCollaborate with data engineers, scientists, and architects to build reliable, high-performance solutions.\nDevelop CI/CD pipelines for Databricks workflows using tools like GitHub Actions, Azure DevOps, or Jenkins.\nApply best practices for security, cost governance, and platform observability.\nRequired Qualifications:\n4+ years of experience in data engineering or analytics roles.\n2+ years of hands-on experience with Databricks and Apache Spark (preferably in a production setting).\nStrong Python skills (PySpark) and SQL expertise.\nFamiliarity with Delta Lake , Unity Catalog, and data governance practices.\nSolid understanding of modern data architectures: Lakehouse, medallion architecture, etc.\nNice to Have:\nExperience with MLflow or Databricks Machine Learning.\nCertifications in Databricks, Azure Data Engineer, or AWS Big Data.\nExposure to tools like Airflow, dbt, or Terraform.\n\n#J-18808-Ljbffr","company":"Medasource","rawCompany":"medasource","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:49:08.890Z","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":"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":"Databricks Engineer","description":"Type: Contract-to-Hire (flexible based on candidate preference)\nJob Summary:\nWe are seeking a highly skilled Databricks Engineer to support the design, development, and optimization of large-scale data processing pipelines and machine learning workflows using the Databricks Lakehouse platform. This role requires expertise in Spark, Delta Lake, and a strong understanding of cloud-native data architectures (AWS).\nKey Responsibilities:\nDesign and implement scalable ETL/ELT pipelines using PySpark and Databricks notebooks.\nOptimize performance across Delta Lake tables, jobs, and clusters.\nIntegrate Databricks with external tools and services (e.g., Azure Data Factory, AWS Glue, Kafka, Snowflake).\nCollaborate with data engineers, scientists, and architects to build reliable, high-performance solutions.\nDevelop CI/CD pipelines for Databricks workflows using tools like GitHub Actions, Azure DevOps, or Jenkins.\nApply best practices for security, cost governance, and platform observability.\nRequired Qualifications:\n4+ years of experience in data engineering or analytics roles.\n2+ years of hands-on experience with Databricks and Apache Spark (preferably in a production setting).\nStrong Python skills (PySpark) and SQL expertise.\nFamiliarity with Delta Lake , Unity Catalog, and data governance practices.\nSolid understanding of modern data architectures: Lakehouse, medallion architecture, etc.\nNice to Have:\nExperience with MLflow or Databricks Machine Learning.\nCertifications in Databricks, Azure Data Engineer, or AWS Big Data.\nExposure to tools like Airflow, dbt, or Terraform.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:49:08.890Z","dateModified":"2026-07-16T03:49:08.890Z","hiringOrganization":{"@type":"Organization","name":"Medasource","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"db23e87958ba8f542131240b"},"url":"https://jobsearcher.com/jobs/db23e87958ba8f542131240b"}}