{"schemaVersion":"jobsearcher.job.v1","id":"0feb0acdac1cca91bdfcae5c","url":"https://jobsearcher.com/jobs/0feb0acdac1cca91bdfcae5c","canonicalUrl":"https://jobsearcher.com/jobs/0feb0acdac1cca91bdfcae5c","title":"Senior Databricks Data Engineer","description":"About Our Client:The client is a technology organization employing over 400 professionals focused on delivering advanced, data-driven solutions. They operate within the cloud and big data engineering space, addressing challenges related to processing large and complex datasets. Their work spans multiple cloud platforms including AWS, Azure, and GCP, utilizing modern data frameworks and DevOps practices to build scalable data architectures.About the Opportunity:The SENIOR DATABRICKS DATA ENGINEER will contribute to building scalable data processing architectures and pipelines for large and diverse datasets. This role is responsible for designing, implementing, and enhancing data solutions using Databricks and cloud-native tools, ensuring data consistency, security, and scalability across cloud environments. The position plays a critical role in maintaining best practices in data engineering and supports the organization’s capacity to deliver robust data-driven solutions.Responsibilities:Design and implement data processing solutions using Databricks.Build and enhance data pipelines with Python and cloud-native technologies.Collaborate with solution architects to define and maintain data engineering best practices.Ensure data consistency, security, and scalability in cloud-based environments.Requirements:Proven commercial experience in data engineering with hands-on Databricks expertise.Strong proficiency in Python for automation and data transformation.Experience with at least one major cloud platform (AWS, Azure, or GCP).Strong communication skills.Advanced proficiency in English and Polish.Pay Range and Compensation Package:The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.Equal Opportunity Statement: Our client is an equal opportunity employer. They 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, gender, gender identity or expression, sexual orientation, or national origin.Note:RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.","company":"Remotehunter","rawCompany":"remotehunter","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-16T07:58:59.589Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"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 Data Engineer","description":"About Our Client:The client is a technology organization employing over 400 professionals focused on delivering advanced, data-driven solutions. They operate within the cloud and big data engineering space, addressing challenges related to processing large and complex datasets. Their work spans multiple cloud platforms including AWS, Azure, and GCP, utilizing modern data frameworks and DevOps practices to build scalable data architectures.About the Opportunity:The SENIOR DATABRICKS DATA ENGINEER will contribute to building scalable data processing architectures and pipelines for large and diverse datasets. This role is responsible for designing, implementing, and enhancing data solutions using Databricks and cloud-native tools, ensuring data consistency, security, and scalability across cloud environments. The position plays a critical role in maintaining best practices in data engineering and supports the organization’s capacity to deliver robust data-driven solutions.Responsibilities:Design and implement data processing solutions using Databricks.Build and enhance data pipelines with Python and cloud-native technologies.Collaborate with solution architects to define and maintain data engineering best practices.Ensure data consistency, security, and scalability in cloud-based environments.Requirements:Proven commercial experience in data engineering with hands-on Databricks expertise.Strong proficiency in Python for automation and data transformation.Experience with at least one major cloud platform (AWS, Azure, or GCP).Strong communication skills.Advanced proficiency in English and Polish.Pay Range and Compensation Package:The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.Equal Opportunity Statement: Our client is an equal opportunity employer. They 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, gender, gender identity or expression, sexual orientation, or national origin.Note:RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.","datePosted":"2026-10-16T07:58:59.589Z","dateModified":"2026-10-16T07:58:59.589Z","hiringOrganization":{"@type":"Organization","name":"Remotehunter","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0feb0acdac1cca91bdfcae5c"},"url":"https://jobsearcher.com/jobs/0feb0acdac1cca91bdfcae5c"}}