{"schemaVersion":"jobsearcher.job.v1","id":"17eadfc6f0280ad290f7a487","url":"https://jobsearcher.com/jobs/17eadfc6f0280ad290f7a487","canonicalUrl":"https://jobsearcher.com/jobs/17eadfc6f0280ad290f7a487","title":"Data Engineer (Databricks Experience)","description":"Candidates must be local to the Washington D.C. metro areaAbout Infinitive:Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 8 times most recently in 2025. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”About the Role:We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault). As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.Responsibilities:Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologiesDevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructureData Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainabilityPerformance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performanceData Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistencyCollaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutionsDocumentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processesTraining and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the teamQualifications:Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree preferredProven experience as a Data Engineer, preferably in a cloud-based environmentStrong proficiency in Databricks for data processing and analyticsHands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automationIn-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data VaultProficiency in SQL and programming languages such as Python or ScalaExperience with cloud platforms such as AWS, Azure, or Google Cloud PlatformExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsInfinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.","company":"Infinitive","rawCompany":"infinitive","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-05-21T02:39:53.806Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"Data Engineer (Databricks Experience)","description":"Candidates must be local to the Washington D.C. metro areaAbout Infinitive:Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 8 times most recently in 2025. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”About the Role:We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault). As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.Responsibilities:Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologiesDevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructureData Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainabilityPerformance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performanceData Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistencyCollaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutionsDocumentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processesTraining and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the teamQualifications:Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree preferredProven experience as a Data Engineer, preferably in a cloud-based environmentStrong proficiency in Databricks for data processing and analyticsHands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automationIn-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data VaultProficiency in SQL and programming languages such as Python or ScalaExperience with cloud platforms such as AWS, Azure, or Google Cloud PlatformExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsInfinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.","datePosted":"2026-05-21T02:39:53.806Z","dateModified":"2026-05-21T02:39:53.806Z","hiringOrganization":{"@type":"Organization","name":"Infinitive","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"17eadfc6f0280ad290f7a487"},"url":"https://jobsearcher.com/jobs/17eadfc6f0280ad290f7a487"}}