{"schemaVersion":"jobsearcher.job.v1","id":"7cda55c5f4156cfeb9a18fc9","url":"https://jobsearcher.com/jobs/7cda55c5f4156cfeb9a18fc9","canonicalUrl":"https://jobsearcher.com/jobs/7cda55c5f4156cfeb9a18fc9","title":"Databricks Engineer - USA","description":"Engineering · Data Science / Data Engineering\nwork Full-time distance On-site location_on Mountain View\nRole Overview\nWe are looking for an experienced Databricks Data Engineer to support, maintain, and enhance existing Databricks-based data applications and pipelines. The role focuses on ensuring reliability, performance, and scalability of production Databricks workloads rather than building net-new platforms from scratch. You will work closely with data, analytics, and engineering teams to keep critical data applications stable, optimized, and aligned with business needs.\nKey Responsibilities\n\nSupport and maintain existing Databricks applications, notebooks, jobs, and Delta Lake pipelines in production.\nMonitor, troubleshoot, and resolve issues related to job failures, performance degradation, data quality, and cluster utilization.\nOptimize existing Spark jobs, SQL queries, and Delta tables for cost, performance, and reliability.\nManage and improve Databricks workspace configurations, including clusters, job scheduling, access controls, and Unity Catalog (where applicable).\nImplement and maintain data quality checks, logging, alerting, and basic observability for Databricks workloads.\nCollaborate with stakeholders to understand requirements for enhancements or bug fixes on existing applications.\nPerform incremental improvements, refactoring, and technical debt reduction on current Databricks solutions.\nEnsure adherence to best practices around security, governance, and cost management within the Databricks environment.\nDocument existing pipelines, dependencies, and operational runbooks.\nParticipate in on-call or support rotations as needed to maintain production stability\n\nRequired Qualifications\n\n6–9 years of overall experience in data engineering, with strong hands-on experience in Databricks.\nSolid proficiency in Apache Spark (PySpark and/or Scala) and SQL.\nProven experience supporting and optimizing production Databricks workloads (jobs, notebooks, Delta Lake, workflows).\nStrong understanding of Delta Lake concepts (ACID transactions, time travel, optimization techniques such as Z-ordering, vacuum, optimize).\nExperience with Databricks Job clusters, Interactive clusters, and performance tuning (partitioning, caching, shuffle optimization, autoscaling).\nFamiliarity with data modeling, ETL/ELT patterns, and production data pipeline support.\nExperience working with cloud platforms (preferably Azure, AWS, or GCP) in the context of Databricks.\nAbility to troubleshoot complex Spark and Databricks issues independently.\nStrong communication skills and ability to work effectively with EST-aligned team.\n\nPreferred Qualifications\n\nExperience with Unity Catalog, Databricks SQL, or Lakehouse architecture.\nKnowledge of CI/CD practices for Databricks (e.g., Databricks Asset Bundles, Git integration, Terraform/ARM templates).\nFamiliarity with orchestration tools (Airflow, Azure Data Factory, or Databricks Workflows).\nExposure to data quality frameworks, monitoring tools, or cost optimization initiatives on Databricks.\nExperience supporting analytics or BI teams consuming Databricks data products.\n\nSalary Range\n$120,000 - $130,000\nDisclaimer: The base salary range is a guideline and may vary based on factors such as candidate experience, specialized skills, and geographical location. Actual compensation may include additional benefits and bonuses.\nPerks And Benefits Of Working With Us\n\nUnlimited PTO.\nPlease ask us about our very generous parental leave, much above industry standards!.\nEntrepreneurial culture where pushing limits and taking risks is everyday business.\nOpen communication with management and company leadership.\nSmall, dynamic teams = massive impact.\nMedical, Dental and Vision coverage for employees.\nAccess to Disability & Life insurance.\nMental health and wellbeing support\nEmployer Stock Purchase Program (ESPP)\nYearly Team building experiences\nMentorship and sponsorship opportunities\nManager resources and support\n\nWe are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic\n#J-18808-Ljbffr","company":"Cogniify","rawCompany":"cogniify","city":"Eastern","state":"KY","isRemote":false,"isActive":false,"createdAt":"2026-10-08T03:59:09.358Z","occupations":[{"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"},{"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 - USA","description":"Engineering · Data Science / Data Engineering\nwork Full-time distance On-site location_on Mountain View\nRole Overview\nWe are looking for an experienced Databricks Data Engineer to support, maintain, and enhance existing Databricks-based data applications and pipelines. The role focuses on ensuring reliability, performance, and scalability of production Databricks workloads rather than building net-new platforms from scratch. You will work closely with data, analytics, and engineering teams to keep critical data applications stable, optimized, and aligned with business needs.\nKey Responsibilities\n\nSupport and maintain existing Databricks applications, notebooks, jobs, and Delta Lake pipelines in production.\nMonitor, troubleshoot, and resolve issues related to job failures, performance degradation, data quality, and cluster utilization.\nOptimize existing Spark jobs, SQL queries, and Delta tables for cost, performance, and reliability.\nManage and improve Databricks workspace configurations, including clusters, job scheduling, access controls, and Unity Catalog (where applicable).\nImplement and maintain data quality checks, logging, alerting, and basic observability for Databricks workloads.\nCollaborate with stakeholders to understand requirements for enhancements or bug fixes on existing applications.\nPerform incremental improvements, refactoring, and technical debt reduction on current Databricks solutions.\nEnsure adherence to best practices around security, governance, and cost management within the Databricks environment.\nDocument existing pipelines, dependencies, and operational runbooks.\nParticipate in on-call or support rotations as needed to maintain production stability\n\nRequired Qualifications\n\n6–9 years of overall experience in data engineering, with strong hands-on experience in Databricks.\nSolid proficiency in Apache Spark (PySpark and/or Scala) and SQL.\nProven experience supporting and optimizing production Databricks workloads (jobs, notebooks, Delta Lake, workflows).\nStrong understanding of Delta Lake concepts (ACID transactions, time travel, optimization techniques such as Z-ordering, vacuum, optimize).\nExperience with Databricks Job clusters, Interactive clusters, and performance tuning (partitioning, caching, shuffle optimization, autoscaling).\nFamiliarity with data modeling, ETL/ELT patterns, and production data pipeline support.\nExperience working with cloud platforms (preferably Azure, AWS, or GCP) in the context of Databricks.\nAbility to troubleshoot complex Spark and Databricks issues independently.\nStrong communication skills and ability to work effectively with EST-aligned team.\n\nPreferred Qualifications\n\nExperience with Unity Catalog, Databricks SQL, or Lakehouse architecture.\nKnowledge of CI/CD practices for Databricks (e.g., Databricks Asset Bundles, Git integration, Terraform/ARM templates).\nFamiliarity with orchestration tools (Airflow, Azure Data Factory, or Databricks Workflows).\nExposure to data quality frameworks, monitoring tools, or cost optimization initiatives on Databricks.\nExperience supporting analytics or BI teams consuming Databricks data products.\n\nSalary Range\n$120,000 - $130,000\nDisclaimer: The base salary range is a guideline and may vary based on factors such as candidate experience, specialized skills, and geographical location. Actual compensation may include additional benefits and bonuses.\nPerks And Benefits Of Working With Us\n\nUnlimited PTO.\nPlease ask us about our very generous parental leave, much above industry standards!.\nEntrepreneurial culture where pushing limits and taking risks is everyday business.\nOpen communication with management and company leadership.\nSmall, dynamic teams = massive impact.\nMedical, Dental and Vision coverage for employees.\nAccess to Disability & Life insurance.\nMental health and wellbeing support\nEmployer Stock Purchase Program (ESPP)\nYearly Team building experiences\nMentorship and sponsorship opportunities\nManager resources and support\n\nWe are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic\n#J-18808-Ljbffr","datePosted":"2026-10-08T03:59:09.358Z","dateModified":"2026-10-08T03:59:09.358Z","hiringOrganization":{"@type":"Organization","name":"Cogniify","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eastern","addressRegion":"KY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7cda55c5f4156cfeb9a18fc9"},"url":"https://jobsearcher.com/jobs/7cda55c5f4156cfeb9a18fc9"}}