{"schemaVersion":"jobsearcher.job.v1","id":"a0f4fbd1e742e69119a39106","url":"https://jobsearcher.com/jobs/a0f4fbd1e742e69119a39106","canonicalUrl":"https://jobsearcher.com/jobs/a0f4fbd1e742e69119a39106","title":"Senior Databricks Developer / Data Engineer","description":"Experience Level: Senior (8+ years in Data Engineering)\nMust-Have Skills\n⁠ ⁠Strong hands-on experience with Databricks (PySpark / Spark SQL)\n⁠ ⁠Proven experience migrating legacy ETL/data warehouse workloads into Databricks\n⁠ ⁠Experience implementing Change Data Capture (CDC) pipelines\n⁠ ⁠Experience building data engineering pipelines using Spark\n⁠ ⁠Experience creating and managing Databricks jobs, workflows, and scheduling\n⁠ ⁠Experience with pipeline orchestration tools (Databricks Workflows, Airflow, Azure Data Factory, etc.)\n⁠ ⁠Strong SQL and Python programming skills\n⁠ ⁠Experience working with large-scale data sets and distributed data processing\nMigration Experience (Very Important)\nThe candidate should have real project experience migrating existing data platforms or ETL pipelines into Databricks, such as migrations from:\n⁠ ⁠Informatica / SSIS / Talend\n⁠ ⁠Teradata / Oracle / Netezza\n⁠ ⁠Hadoop or legacy data warehouse environments\nThey should understand how to convert legacy ETL logic into Spark-based transformations and Delta Lake pipelines.\nPreferred Skills\n⁠ ⁠Experience working with Delta Lake / Lakehouse architecture\n⁠ ⁠Familiarity with CDC tools and streaming technologies (Kafka, Debezium, SQL CDC, etc.)\n⁠ ⁠Experience with Azure Databricks ecosystem (ADLS, Azure Data Factory) or similar cloud environments\n⁠ ⁠Experience implementing incremental ingestion frameworks and data validation\nCandidate Profile\nWe are specifically looking for candidates who have hands-on experience delivering Databricks migration projects, not just maintaining existing pipelines.\nIdeal candidates should be comfortable:\n⁠ ⁠Designing scalable data pipelines\n⁠ ⁠Migrating legacy ETL workflows to Databricks\n⁠ ⁠Implementing CDC-based ingestion patterns\n⁠ ⁠Building and orchestrating production-grade Databricks jobs\nPlease prioritize candidates who can clearly describe their role in Databricks migration projects.\nJob Types: Full-time, Contract\nPay: $113,570.55 - $136,773.13 per year\nApplication Question(s):\nDo you have Databricks certification?\nWork Location: In person","company":"Trustartitllc","rawCompany":"trustartitllc","city":"Garland","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-15T14:19:43.221Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-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":"Senior Databricks Developer / Data Engineer","description":"Experience Level: Senior (8+ years in Data Engineering)\nMust-Have Skills\n⁠ ⁠Strong hands-on experience with Databricks (PySpark / Spark SQL)\n⁠ ⁠Proven experience migrating legacy ETL/data warehouse workloads into Databricks\n⁠ ⁠Experience implementing Change Data Capture (CDC) pipelines\n⁠ ⁠Experience building data engineering pipelines using Spark\n⁠ ⁠Experience creating and managing Databricks jobs, workflows, and scheduling\n⁠ ⁠Experience with pipeline orchestration tools (Databricks Workflows, Airflow, Azure Data Factory, etc.)\n⁠ ⁠Strong SQL and Python programming skills\n⁠ ⁠Experience working with large-scale data sets and distributed data processing\nMigration Experience (Very Important)\nThe candidate should have real project experience migrating existing data platforms or ETL pipelines into Databricks, such as migrations from:\n⁠ ⁠Informatica / SSIS / Talend\n⁠ ⁠Teradata / Oracle / Netezza\n⁠ ⁠Hadoop or legacy data warehouse environments\nThey should understand how to convert legacy ETL logic into Spark-based transformations and Delta Lake pipelines.\nPreferred Skills\n⁠ ⁠Experience working with Delta Lake / Lakehouse architecture\n⁠ ⁠Familiarity with CDC tools and streaming technologies (Kafka, Debezium, SQL CDC, etc.)\n⁠ ⁠Experience with Azure Databricks ecosystem (ADLS, Azure Data Factory) or similar cloud environments\n⁠ ⁠Experience implementing incremental ingestion frameworks and data validation\nCandidate Profile\nWe are specifically looking for candidates who have hands-on experience delivering Databricks migration projects, not just maintaining existing pipelines.\nIdeal candidates should be comfortable:\n⁠ ⁠Designing scalable data pipelines\n⁠ ⁠Migrating legacy ETL workflows to Databricks\n⁠ ⁠Implementing CDC-based ingestion patterns\n⁠ ⁠Building and orchestrating production-grade Databricks jobs\nPlease prioritize candidates who can clearly describe their role in Databricks migration projects.\nJob Types: Full-time, Contract\nPay: $113,570.55 - $136,773.13 per year\nApplication Question(s):\nDo you have Databricks certification?\nWork Location: In person","datePosted":"2026-07-15T14:19:43.221Z","dateModified":"2026-07-15T14:19:43.221Z","hiringOrganization":{"@type":"Organization","name":"Trustartitllc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Garland","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a0f4fbd1e742e69119a39106"},"url":"https://jobsearcher.com/jobs/a0f4fbd1e742e69119a39106"}}