{"schemaVersion":"jobsearcher.job.v1","id":"c69d6d142b804dc20c548fd8","url":"https://jobsearcher.com/jobs/c69d6d142b804dc20c548fd8","canonicalUrl":"https://jobsearcher.com/jobs/c69d6d142b804dc20c548fd8","title":"Databricks Engineer","description":"Build what matters as a Databricks Engineer at RevStar.\nRevStar is a Databricks Partner launching a cloud-agnostic practice focused on Data, Machine Learning (ML), and Artificial Intelligence (AI) services. Our mission is to help businesses modernize their data platforms, optimize analytics workflows, and implement scalable AI-driven solutions using Databricks.\nWe are passionate about what we build and how we build it. From architecture and design to coding and delivery, we approach each project with an agile mindset, continuously analyzing goals and business needs to ensure optimal outcomes.\nAt RevStar, we foster a collaborative, remote-first culture where teams freely share ideas, innovate together, and grow both individually and collectively. By joining us, you’ll have the opportunity to work with cutting-edge technologies across diverse industries, delivering value-driven products for clients who prioritize quality and performance. We believe in the pursuit of better, not just in cloud-native app development, but in creating meaningful experiences and outcomes that matter.\nWe are seeking a highly skilled Databricks Engineer to join our team. This role will be hands-on, working closely with architects, data scientists, and customers to build, optimize, and deploy high-performance data and AI solutions.\nAs a Databricks Engineer, you will be responsible for building and optimizing data pipelines, implementing data processing frameworks, and enabling AI/ML solutions within Databricks. You will work across data ingestion, transformation, and orchestration while ensuring scalability, performance, and security.\nThis is a technical hands-on role, requiring expertise in Apache Spark, Delta Lake, and MLOps, as well as experience working with large-scale data architectures. You will collaborate with architects and business stakeholders to ensure solutions align with customer needs and best practices.\nAbove all, the ideal candidate embodies RevStar’s core values:\nSelf-Mastery: We hold a high bar for how we think, communicate, and improve.\nOwnership: We own outcomes, not just effort.\nShared Destiny: We rise or fall together.\nKey Responsibilities\nData Engineering & Pipeline Development\nDevelop and optimize data pipelines using Apache Spark and Delta Lake within Databricks.\nImplement ETL/ELT workflows, ensuring efficient data ingestion, transformation, and storage.\nDesign Lakehouse architecture-based solutions that scale across structured and unstructured data sources.\nIntegrate Databricks with cloud storage solutions (Azure Data Lake, AWS S3, Google Cloud Storage) for seamless data management.\nPerformance Optimization & Automation\nOptimize Spark jobs for scalability, cost efficiency, and low latency.\nImplement monitoring and alerting solutions to track job performance and detect failures.\nDevelop automated data validation, testing, and quality assurance processes.\nManagement AI/ML Integration & MLOps Support\nSupport ML model training and deployment within Databricks, integrating with MLflow for experiment tracking and model versioning.\nCollaborate with data scientists and ML engineers to enable scalable AI solutions.\nImplement feature engineering pipelines and integrate models into production environments.\nSecurity, Governance & Best Practices\nEnsure data security, access control, and compliance with industry standards (GDPR, HIPAA, SOC 2, etc.).\nFollow Databricks best practices for data lineage, governance, and metadata management.\nDocument processes, configurations, and best practices for internal and client use.\n\nRequirements\n\nMust-Have:\n3+ years of hands-on experience in data engineering, with a focus on big data processing and cloud-native architectures.\n2+ years of hands-on experience with Databricks, including Apache Spark, Delta Lake, and MLflow.\nDatabricks Certifications (Mandatory):\nDatabricks Certified Data Engineer Associate (or higher)\nProficiency in Python, SQL, and Spark-based frameworks.\nExperience in developing and optimizing large-scale ETL/ELT pipelines.\nStrong understanding of Lakehouse architecture and cloud-agnostic data solutions.\nFamiliarity with CI/CD pipelines and Infrastructure-as-Code (IaC) for Databricks (e.g., Terraform, Databricks CLI).\nKnowledge of data governance, security, and compliance best practices.\nExperience working in Agile development environments, following DevOps/MLOps best practices.\nNice-to-Have:\nAdditional Databricks Certifications (e.g., Databricks Certified Machine Learning Associate).\nExperience with real-time streaming solutions (e.g., Kafka, Kinesis, Event Hub).\nFamiliarity with cloud storage and orchestration tools (e.g., Apache Airflow, Prefect).\nBackground in AI/ML integration within Databricks, assisting in feature engineering and model deployment.\nExperience working in client-facing roles or consulting environments.\n\nBenefits\n\nBenefits for Full-Time W2 Positions:\nPaid Time Off – Take the time you need to recharge and stay productive.\nRemote-First Working Environment – Collaborate from anywhere while staying connected with our global team.\nComprehensive Health Coverage – Medical, Dental, Vision\n401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program.\nAnnual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses.\nPeer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth.\nProfessional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.\nCompany Outings & Volunteer Opportunities – Build relationships and give back to the community.\nCollaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.\nEqual Opportunity Employment\nAt RevStar, we don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. RevStar is proud to be an equal opportunity workplace.\nReasonable Accommodations\nRevStar is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR at hr@revstarconsulting.com.","company":"Revstar","rawCompany":"revstar","city":"Hernando","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-08-19T16:00:53.262Z","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","description":"Build what matters as a Databricks Engineer at RevStar.\nRevStar is a Databricks Partner launching a cloud-agnostic practice focused on Data, Machine Learning (ML), and Artificial Intelligence (AI) services. Our mission is to help businesses modernize their data platforms, optimize analytics workflows, and implement scalable AI-driven solutions using Databricks.\nWe are passionate about what we build and how we build it. From architecture and design to coding and delivery, we approach each project with an agile mindset, continuously analyzing goals and business needs to ensure optimal outcomes.\nAt RevStar, we foster a collaborative, remote-first culture where teams freely share ideas, innovate together, and grow both individually and collectively. By joining us, you’ll have the opportunity to work with cutting-edge technologies across diverse industries, delivering value-driven products for clients who prioritize quality and performance. We believe in the pursuit of better, not just in cloud-native app development, but in creating meaningful experiences and outcomes that matter.\nWe are seeking a highly skilled Databricks Engineer to join our team. This role will be hands-on, working closely with architects, data scientists, and customers to build, optimize, and deploy high-performance data and AI solutions.\nAs a Databricks Engineer, you will be responsible for building and optimizing data pipelines, implementing data processing frameworks, and enabling AI/ML solutions within Databricks. You will work across data ingestion, transformation, and orchestration while ensuring scalability, performance, and security.\nThis is a technical hands-on role, requiring expertise in Apache Spark, Delta Lake, and MLOps, as well as experience working with large-scale data architectures. You will collaborate with architects and business stakeholders to ensure solutions align with customer needs and best practices.\nAbove all, the ideal candidate embodies RevStar’s core values:\nSelf-Mastery: We hold a high bar for how we think, communicate, and improve.\nOwnership: We own outcomes, not just effort.\nShared Destiny: We rise or fall together.\nKey Responsibilities\nData Engineering & Pipeline Development\nDevelop and optimize data pipelines using Apache Spark and Delta Lake within Databricks.\nImplement ETL/ELT workflows, ensuring efficient data ingestion, transformation, and storage.\nDesign Lakehouse architecture-based solutions that scale across structured and unstructured data sources.\nIntegrate Databricks with cloud storage solutions (Azure Data Lake, AWS S3, Google Cloud Storage) for seamless data management.\nPerformance Optimization & Automation\nOptimize Spark jobs for scalability, cost efficiency, and low latency.\nImplement monitoring and alerting solutions to track job performance and detect failures.\nDevelop automated data validation, testing, and quality assurance processes.\nManagement AI/ML Integration & MLOps Support\nSupport ML model training and deployment within Databricks, integrating with MLflow for experiment tracking and model versioning.\nCollaborate with data scientists and ML engineers to enable scalable AI solutions.\nImplement feature engineering pipelines and integrate models into production environments.\nSecurity, Governance & Best Practices\nEnsure data security, access control, and compliance with industry standards (GDPR, HIPAA, SOC 2, etc.).\nFollow Databricks best practices for data lineage, governance, and metadata management.\nDocument processes, configurations, and best practices for internal and client use.\n\nRequirements\n\nMust-Have:\n3+ years of hands-on experience in data engineering, with a focus on big data processing and cloud-native architectures.\n2+ years of hands-on experience with Databricks, including Apache Spark, Delta Lake, and MLflow.\nDatabricks Certifications (Mandatory):\nDatabricks Certified Data Engineer Associate (or higher)\nProficiency in Python, SQL, and Spark-based frameworks.\nExperience in developing and optimizing large-scale ETL/ELT pipelines.\nStrong understanding of Lakehouse architecture and cloud-agnostic data solutions.\nFamiliarity with CI/CD pipelines and Infrastructure-as-Code (IaC) for Databricks (e.g., Terraform, Databricks CLI).\nKnowledge of data governance, security, and compliance best practices.\nExperience working in Agile development environments, following DevOps/MLOps best practices.\nNice-to-Have:\nAdditional Databricks Certifications (e.g., Databricks Certified Machine Learning Associate).\nExperience with real-time streaming solutions (e.g., Kafka, Kinesis, Event Hub).\nFamiliarity with cloud storage and orchestration tools (e.g., Apache Airflow, Prefect).\nBackground in AI/ML integration within Databricks, assisting in feature engineering and model deployment.\nExperience working in client-facing roles or consulting environments.\n\nBenefits\n\nBenefits for Full-Time W2 Positions:\nPaid Time Off – Take the time you need to recharge and stay productive.\nRemote-First Working Environment – Collaborate from anywhere while staying connected with our global team.\nComprehensive Health Coverage – Medical, Dental, Vision\n401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program.\nAnnual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses.\nPeer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth.\nProfessional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.\nCompany Outings & Volunteer Opportunities – Build relationships and give back to the community.\nCollaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.\nEqual Opportunity Employment\nAt RevStar, we don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. RevStar is proud to be an equal opportunity workplace.\nReasonable Accommodations\nRevStar is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR at hr@revstarconsulting.com.","datePosted":"2026-08-19T16:00:53.262Z","dateModified":"2026-08-19T16:00:53.262Z","hiringOrganization":{"@type":"Organization","name":"Revstar","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hernando","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c69d6d142b804dc20c548fd8"},"url":"https://jobsearcher.com/jobs/c69d6d142b804dc20c548fd8"}}