{"schemaVersion":"jobsearcher.job.v1","id":"a89d1599aaee8fcd3dc4d406","url":"https://jobsearcher.com/jobs/a89d1599aaee8fcd3dc4d406","canonicalUrl":"https://jobsearcher.com/jobs/a89d1599aaee8fcd3dc4d406","title":"Analytics Engineer (Remote)","description":"1. About Our Client: The organization operates globally in the data and technology sector, serving diverse markets including financial services, healthcare, automotive, agribusiness, and insurance. It addresses challenges around data utilization by investing in advanced technologies and expertise to unlock data's potential. With a presence in 32 countries and a workforce exceeding 25,000, the organization delivers data-driven solutions at scale.2. About the Opportunity: The Analytics Engineer, Fraud Analytics Infrastructure will support the Fraud Analytics team's goal of enhancing fraud detection capabilities. This role focuses on building and maintaining reliable, scalable analytics platforms that enable fraud attribute development, model building, and deployment. The position involves collaboration across data science, engineering, and product teams to improve efficiency and stability across the modeling lifecycle.3. Responsibilities:Build scalable Python-based data pipelines and backend services for analytics workflows.Design software systems using object-oriented programming and sound engineering practices.Create and support platforms for analytics development, model training, and deployment.Implement and maintain CI/CD pipelines and infrastructure-as-code for automated deployments.Manage cloud and on-premises analytics environments, including AWS infrastructure and security controls.Monitor, troubleshoot, and improve data pipelines, platform performance, and system reliability.Support machine learning and fraud modeling workflows, including feature engineering and model deployment.Implement new technologies, including AI-based solutions, to enhance platform efficiency and stability.4. Requirements:Minimum 3 years of experience in data science, analytics, data engineering, or related fields.Bachelor’s or advanced degree in Statistics, Applied Mathematics, Econometrics, or quantitative fields; equivalent experience considered.Proficiency in Python and associated libraries such as PySpark, Polars, NumPy, and Pandas.Familiarity with Java and object-oriented programming concepts.Experience building, deploying, and supporting production data systems and platforms.Knowledge of AWS services including EC2, EMR, Airflow, and cloud security best practices.Experience with machine learning workflows and analytics model development.Familiarity with CI/CD, Infrastructure as Code, containerization, and UNIX/Linux environments.5. Pay Range and Compensation Package:Salary range: $115,747 to $208,344 USD per year.Compensation reflects location, skills, experience, and education.Eligibility for variable pay opportunity.6. Benefits & Perks:Medical, dental, and vision insurance.Matching 401(k) plan.Flexible work environment: remote, hybrid, or in-office options.Flexible time off including volunteer time, vacation, sick leave, and paid holidays.7. 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 not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.","company":"Remotehunter","rawCompany":"remotehunter","isRemote":true,"isActive":false,"createdAt":"2026-06-19T09:24:08.281Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analytics Engineer (Remote)","description":"1. About Our Client: The organization operates globally in the data and technology sector, serving diverse markets including financial services, healthcare, automotive, agribusiness, and insurance. It addresses challenges around data utilization by investing in advanced technologies and expertise to unlock data's potential. With a presence in 32 countries and a workforce exceeding 25,000, the organization delivers data-driven solutions at scale.2. About the Opportunity: The Analytics Engineer, Fraud Analytics Infrastructure will support the Fraud Analytics team's goal of enhancing fraud detection capabilities. This role focuses on building and maintaining reliable, scalable analytics platforms that enable fraud attribute development, model building, and deployment. The position involves collaboration across data science, engineering, and product teams to improve efficiency and stability across the modeling lifecycle.3. Responsibilities:Build scalable Python-based data pipelines and backend services for analytics workflows.Design software systems using object-oriented programming and sound engineering practices.Create and support platforms for analytics development, model training, and deployment.Implement and maintain CI/CD pipelines and infrastructure-as-code for automated deployments.Manage cloud and on-premises analytics environments, including AWS infrastructure and security controls.Monitor, troubleshoot, and improve data pipelines, platform performance, and system reliability.Support machine learning and fraud modeling workflows, including feature engineering and model deployment.Implement new technologies, including AI-based solutions, to enhance platform efficiency and stability.4. Requirements:Minimum 3 years of experience in data science, analytics, data engineering, or related fields.Bachelor’s or advanced degree in Statistics, Applied Mathematics, Econometrics, or quantitative fields; equivalent experience considered.Proficiency in Python and associated libraries such as PySpark, Polars, NumPy, and Pandas.Familiarity with Java and object-oriented programming concepts.Experience building, deploying, and supporting production data systems and platforms.Knowledge of AWS services including EC2, EMR, Airflow, and cloud security best practices.Experience with machine learning workflows and analytics model development.Familiarity with CI/CD, Infrastructure as Code, containerization, and UNIX/Linux environments.5. Pay Range and Compensation Package:Salary range: $115,747 to $208,344 USD per year.Compensation reflects location, skills, experience, and education.Eligibility for variable pay opportunity.6. Benefits & Perks:Medical, dental, and vision insurance.Matching 401(k) plan.Flexible work environment: remote, hybrid, or in-office options.Flexible time off including volunteer time, vacation, sick leave, and paid holidays.7. 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 not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.","datePosted":"2026-06-19T09:24:08.281Z","dateModified":"2026-06-19T09:24:08.281Z","hiringOrganization":{"@type":"Organization","name":"Remotehunter","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a89d1599aaee8fcd3dc4d406"},"url":"https://jobsearcher.com/jobs/a89d1599aaee8fcd3dc4d406"}}