{"schemaVersion":"jobsearcher.job.v1","id":"17cc7272de1f05d238d9a962","url":"https://jobsearcher.com/jobs/17cc7272de1f05d238d9a962","canonicalUrl":"https://jobsearcher.com/jobs/17cc7272de1f05d238d9a962","title":"Software Engineer — Data Platform","description":"We are hiring Data Platform Engineers with 6+ years of data engineering/software engineering experience with hands-on Spark and Databricks experience, including large-scale data pipelines, distributed systems, and CI/CD engineering.We are looking for Candidates whose data engineering experience with exposure to large-scale distributed systems (Spark-level). You should be able to demonstrate breadth of contribution across data platform domains. Must be based in the New York, San Francisco, or Austin metropolitan area and within commuting distance of the respective hub as this is a hybrid role.Technical skillsApache SparkDatabricksPython or ScalaLarge-scale data engineering / distributed systemsBuilding and operating data pipelinesCI/CD pipeline engineeringCloud experience — AWS, Azure, or GCPHealthcare experience preferredREQUIREDAdvanced proficiency in Apache Spark and Databricks. This is the core of the role — candidates must demonstrate hands-on pipeline engineering experience, not just familiarity.Strong Python and/or Scala for data engineering. Both are listed; depth in at least one with working knowledge of the other.Big Data engineering experience — designing and operating data pipelines at scale with large, complex datasets.CI/CD pipeline engineering — building automated build steps, continuous integration systems, and staging environments. Confirmed as a from-scratch requirement, not just maintenance.Cloud platform experience (Azure, GCP, or AWS). Extensive hands-on, not just deployment.PreferredHealthcare technology industry experience — revenue cycle, claims processing, clinical data, or health system data infrastructure.Understanding of clinical data lifecycle and claims processing.Experience with data engineering in regulated or high-accuracy environments where data quality is mission-critical.","company":"Dasro Consulting","rawCompany":"dasro consulting","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-25T11:10:31.233Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer — Data Platform","description":"We are hiring Data Platform Engineers with 6+ years of data engineering/software engineering experience with hands-on Spark and Databricks experience, including large-scale data pipelines, distributed systems, and CI/CD engineering.We are looking for Candidates whose data engineering experience with exposure to large-scale distributed systems (Spark-level). You should be able to demonstrate breadth of contribution across data platform domains. Must be based in the New York, San Francisco, or Austin metropolitan area and within commuting distance of the respective hub as this is a hybrid role.Technical skillsApache SparkDatabricksPython or ScalaLarge-scale data engineering / distributed systemsBuilding and operating data pipelinesCI/CD pipeline engineeringCloud experience — AWS, Azure, or GCPHealthcare experience preferredREQUIREDAdvanced proficiency in Apache Spark and Databricks. This is the core of the role — candidates must demonstrate hands-on pipeline engineering experience, not just familiarity.Strong Python and/or Scala for data engineering. Both are listed; depth in at least one with working knowledge of the other.Big Data engineering experience — designing and operating data pipelines at scale with large, complex datasets.CI/CD pipeline engineering — building automated build steps, continuous integration systems, and staging environments. Confirmed as a from-scratch requirement, not just maintenance.Cloud platform experience (Azure, GCP, or AWS). Extensive hands-on, not just deployment.PreferredHealthcare technology industry experience — revenue cycle, claims processing, clinical data, or health system data infrastructure.Understanding of clinical data lifecycle and claims processing.Experience with data engineering in regulated or high-accuracy environments where data quality is mission-critical.","datePosted":"2026-08-25T11:10:31.233Z","dateModified":"2026-08-25T11:10:31.233Z","hiringOrganization":{"@type":"Organization","name":"Dasro Consulting","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"17cc7272de1f05d238d9a962"},"url":"https://jobsearcher.com/jobs/17cc7272de1f05d238d9a962"}}