{"schemaVersion":"jobsearcher.job.v1","id":"09d2a526d066b8df7994d392","url":"https://jobsearcher.com/jobs/09d2a526d066b8df7994d392","canonicalUrl":"https://jobsearcher.com/jobs/09d2a526d066b8df7994d392","title":"Data Engineer","description":"🚀 Junior Databricks Data Engineer (Azure) 📍 Location: Tempe Arizona- Onsite with the team 💼 Employment Type: Full-TimeWe are partnering with an innovative organization to find a Junior Databricks Data Engineer who is passionate about building modern data solutions in the cloud. This is a great opportunity for someone with 3–4 years of experience looking to grow their expertise in Azure and Databricks Lakehouse technologies while working on impactful, enterprise-scale data initiatives.What You’ll Do:Design, build, and maintain scalable data pipelines using the Databricks Lakehouse platformSupport the modernization of a cloud-based data ecosystem in AzureDevelop ETL/ELT pipelines using Python, PySpark, and SQLWork with Delta Lake to ensure data reliability, performance, and scalabilityAssist in implementing data governance, security, and cataloging practices (Unity Catalog exposure is a plus)Use tools like Apache Airflow (or similar) for workflow orchestrationBuild and support data ingestion pipelines from APIs, databases, and file-based sourcesCollaborate with cross-functional teams to enable analytics, BI, and data science use casesWrite and optimize SQL queries and help create curated datasets for reportingContribute to CI/CD pipelines and automation efforts for data workflowsWhat You Bring:3–4 years of experience in data engineering, data warehousing, or related rolesHands-on experience with Python, SQL, and PySpark (or Spark)Exposure to Databricks and/or Azure cloud servicesUnderstanding of ETL/ELT processes and data pipeline developmentFamiliarity with Delta Lake or modern data lake architectures is a plusExperience with orchestration tools like Airflow is preferredBasic knowledge of data governance, security, and best practicesStrong problem-solving skills and eagerness to learn in a fast-paced environmentNice to Have:Exposure to Unity Catalog, Databricks Workflows, or Delta Live TablesExperience working with regulated or financial datasetsFamiliarity with DevOps/CI/CD concepts in a data environment","company":"Interactive Resources Ir","rawCompany":"interactive resources ir","city":"Tempe","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-04-12T19:31:32.459Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"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":"Data Engineer","description":"🚀 Junior Databricks Data Engineer (Azure) 📍 Location: Tempe Arizona- Onsite with the team 💼 Employment Type: Full-TimeWe are partnering with an innovative organization to find a Junior Databricks Data Engineer who is passionate about building modern data solutions in the cloud. This is a great opportunity for someone with 3–4 years of experience looking to grow their expertise in Azure and Databricks Lakehouse technologies while working on impactful, enterprise-scale data initiatives.What You’ll Do:Design, build, and maintain scalable data pipelines using the Databricks Lakehouse platformSupport the modernization of a cloud-based data ecosystem in AzureDevelop ETL/ELT pipelines using Python, PySpark, and SQLWork with Delta Lake to ensure data reliability, performance, and scalabilityAssist in implementing data governance, security, and cataloging practices (Unity Catalog exposure is a plus)Use tools like Apache Airflow (or similar) for workflow orchestrationBuild and support data ingestion pipelines from APIs, databases, and file-based sourcesCollaborate with cross-functional teams to enable analytics, BI, and data science use casesWrite and optimize SQL queries and help create curated datasets for reportingContribute to CI/CD pipelines and automation efforts for data workflowsWhat You Bring:3–4 years of experience in data engineering, data warehousing, or related rolesHands-on experience with Python, SQL, and PySpark (or Spark)Exposure to Databricks and/or Azure cloud servicesUnderstanding of ETL/ELT processes and data pipeline developmentFamiliarity with Delta Lake or modern data lake architectures is a plusExperience with orchestration tools like Airflow is preferredBasic knowledge of data governance, security, and best practicesStrong problem-solving skills and eagerness to learn in a fast-paced environmentNice to Have:Exposure to Unity Catalog, Databricks Workflows, or Delta Live TablesExperience working with regulated or financial datasetsFamiliarity with DevOps/CI/CD concepts in a data environment","datePosted":"2026-04-12T19:31:32.459Z","dateModified":"2026-04-12T19:31:32.459Z","hiringOrganization":{"@type":"Organization","name":"Interactive Resources Ir","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tempe","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"09d2a526d066b8df7994d392"},"url":"https://jobsearcher.com/jobs/09d2a526d066b8df7994d392"}}