{"schemaVersion":"jobsearcher.job.v1","id":"22512ab0d2aae734f212cdc6","url":"https://jobsearcher.com/jobs/22512ab0d2aae734f212cdc6","canonicalUrl":"https://jobsearcher.com/jobs/22512ab0d2aae734f212cdc6","title":"Data Engineer","description":"Senior Data Engineer With DatabricksRemote, Anywhere in the Continental USDue to the nature of the role, this position requires U.S. Citizenship.Data Surge is disrupting the services industry with cutting-edge technology that brings together the very best consultants from the big data, machine learning, and software modernization space.At Data Surge, we value collaboration, curiosity, and being customer centric. Our team thrives on collective efforts, innovation, and a commitment to wellness, ensuring employees are empowered to thrive professionally and personally.About the RoleWe are seeking a skilled and motivated Data Engineer with deep Databricks and cloud experience to support our Federal Services team. In this role, you will help design and implement scalable data solutions, build and optimize pipelines, and automate infrastructure within secure cloud environments.This role is ideal for experienced developers who enjoy tackling complex data engineering challenges, optimizing performance, and contributing to impactful government programs. You'll help shape robust, secure, and efficient pipelines that serve critical public-sector missions.Day-to-Day ImpactDesign, develop, and optimize robust data pipelines in Databricks to process and transform large-scale data setsCollaborate with data scientists, engineers, and cloud architects to build reliable, secure data systemsAutomate infrastructure provisioning using Terraform and manage resources on Azure (or AWS/GCP)Monitor, troubleshoot, and support production-grade data pipelines and jobsDevelop CI/CD workflows to streamline deployment and version control of data processing codeEnsure security, performance, and reliability across all stages of data workflowUtilize and manage Docker containers where needed to deploy data servicesParticipate in Agile team ceremonies and help shape iterative data delivery plansSupport continuous improvement in data architecture, automation, and governance practicesOther duties as reasonably requiredEssential Experience5+ years of experience in data engineering or backend data infrastructure roles2+ years of hands-on experience with Databricks, Spark, or distributed data processing systems in a production environmentDeep proficiency with PySpark and Python for data engineering tasksExperience with data modelingSolid experience with Airflow, dbt, or other orchestration and transformation toolsProven skills in data governance, lineage, or security best practicesExperience working with Azure (preferred), AWS, or Google CloudStrong working knowledge of CI/CD tools and version control workflowsComfortable working with relational (e.g., PostgreSQL, MySQL) and NoSQL databasesProven experience in monitoring, debugging, and scaling cloud-based data systemsStrong communication skills and ability to work independently in a remote team environmentKudos If You Have: Experience with Kubernetes and Helm for deploying data workloads (not required)Solid experience with Terraform or other Infrastructure as Code toolsFamiliarity with containerization using DockerKnowledge of data lakehouse architectures and Delta LakeExperience working on Federal or government projectsExisting security clearance (preferred but not required)Databricks CertificationLearn MoreData Surge offers a competitive compensation and total rewards package.Comprehensive BenefitsRemote-first work environmentPTO – Including holidays + your birthday401(k) with 4% Match, immediately vestedGrowth and development opportunitiesBonuses + moreFind out more about our story at www.datasurge.com.Visit our Careers page to explore our openings at https://www.datasurge.com/careers/.Follow us on LinkedIn at https://www.linkedin.com/company/data-surge-llc.As a participator in E-Verify, Data Surge electronically confirms employment eligibility of employees to work in the United States.Job Type: Full-timeBenefits:401(k)401(k) matchingDental insuranceHealth insurancePaid time offRetirement planVision insuranceEducation:Bachelor's (Preferred)Experience:Data Engineering: 7 years (Preferred)Databricks: 3 years (Preferred)Work Location: Remote","company":"Data Surge","rawCompany":"data surge","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T13:26:51.191Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Senior Data Engineer With DatabricksRemote, Anywhere in the Continental USDue to the nature of the role, this position requires U.S. Citizenship.Data Surge is disrupting the services industry with cutting-edge technology that brings together the very best consultants from the big data, machine learning, and software modernization space.At Data Surge, we value collaboration, curiosity, and being customer centric. Our team thrives on collective efforts, innovation, and a commitment to wellness, ensuring employees are empowered to thrive professionally and personally.About the RoleWe are seeking a skilled and motivated Data Engineer with deep Databricks and cloud experience to support our Federal Services team. In this role, you will help design and implement scalable data solutions, build and optimize pipelines, and automate infrastructure within secure cloud environments.This role is ideal for experienced developers who enjoy tackling complex data engineering challenges, optimizing performance, and contributing to impactful government programs. You'll help shape robust, secure, and efficient pipelines that serve critical public-sector missions.Day-to-Day ImpactDesign, develop, and optimize robust data pipelines in Databricks to process and transform large-scale data setsCollaborate with data scientists, engineers, and cloud architects to build reliable, secure data systemsAutomate infrastructure provisioning using Terraform and manage resources on Azure (or AWS/GCP)Monitor, troubleshoot, and support production-grade data pipelines and jobsDevelop CI/CD workflows to streamline deployment and version control of data processing codeEnsure security, performance, and reliability across all stages of data workflowUtilize and manage Docker containers where needed to deploy data servicesParticipate in Agile team ceremonies and help shape iterative data delivery plansSupport continuous improvement in data architecture, automation, and governance practicesOther duties as reasonably requiredEssential Experience5+ years of experience in data engineering or backend data infrastructure roles2+ years of hands-on experience with Databricks, Spark, or distributed data processing systems in a production environmentDeep proficiency with PySpark and Python for data engineering tasksExperience with data modelingSolid experience with Airflow, dbt, or other orchestration and transformation toolsProven skills in data governance, lineage, or security best practicesExperience working with Azure (preferred), AWS, or Google CloudStrong working knowledge of CI/CD tools and version control workflowsComfortable working with relational (e.g., PostgreSQL, MySQL) and NoSQL databasesProven experience in monitoring, debugging, and scaling cloud-based data systemsStrong communication skills and ability to work independently in a remote team environmentKudos If You Have: Experience with Kubernetes and Helm for deploying data workloads (not required)Solid experience with Terraform or other Infrastructure as Code toolsFamiliarity with containerization using DockerKnowledge of data lakehouse architectures and Delta LakeExperience working on Federal or government projectsExisting security clearance (preferred but not required)Databricks CertificationLearn MoreData Surge offers a competitive compensation and total rewards package.Comprehensive BenefitsRemote-first work environmentPTO – Including holidays + your birthday401(k) with 4% Match, immediately vestedGrowth and development opportunitiesBonuses + moreFind out more about our story at www.datasurge.com.Visit our Careers page to explore our openings at https://www.datasurge.com/careers/.Follow us on LinkedIn at https://www.linkedin.com/company/data-surge-llc.As a participator in E-Verify, Data Surge electronically confirms employment eligibility of employees to work in the United States.Job Type: Full-timeBenefits:401(k)401(k) matchingDental insuranceHealth insurancePaid time offRetirement planVision insuranceEducation:Bachelor's (Preferred)Experience:Data Engineering: 7 years (Preferred)Databricks: 3 years (Preferred)Work Location: Remote","datePosted":"2026-08-14T13:26:51.191Z","dateModified":"2026-08-14T13:26:51.191Z","hiringOrganization":{"@type":"Organization","name":"Data Surge","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"22512ab0d2aae734f212cdc6"},"url":"https://jobsearcher.com/jobs/22512ab0d2aae734f212cdc6"}}