{"schemaVersion":"jobsearcher.job.v1","id":"b47fba0f6e4fe5d3f84816aa","url":"https://jobsearcher.com/jobs/b47fba0f6e4fe5d3f84816aa","canonicalUrl":"https://jobsearcher.com/jobs/b47fba0f6e4fe5d3f84816aa","title":"Data Engineer I - Data Platform","description":"About Our Client:The organization operates within the financial services and banking industry. It focuses on addressing challenges related to data management, analytics, and data-driven decision-making in a highly regulated environment. The organization is engaged in modernizing enterprise data platforms by implementing scalable, cloud-based data solutions that support critical business initiatives, leveraging advanced technologies and methodologies to enhance data capabilities across the program.About the Opportunity:The DATA ENGINEER I - DATA PLATFORM role is designed to build and maintain scalable data pipelines and cloud-based data solutions that enable analytics and business intelligence across the organization. This position contributes directly to the modernization of data infrastructure, supporting data quality, integration, and operational efficiency to advance the organization's data and AI transformation objectives.Responsibilities:Design, build, and support scalable data pipelines and cloud-based data solutions using AWS Services, Snowflake, dbt, Python, SQL, and related technologies.Implement data warehouse solutions, dimensional data models, and ETL/ELT processes to support reporting and analytics.Develop and enforce data quality validations, test cases, and controls.Create and maintain data tests, including dbt tests, to uphold data reliability.Support workflow orchestration, monitoring, troubleshooting, and production operations with Airflow and cloud-native tools.Collaborate with business users, product partners, analysts, and technology teams to deliver data solutions aligned with business goals.Adhere to established engineering standards, documentation, and testing procedures to ensure solution quality.Participate in deployments, environment promotions, operational support, and performance optimization using CI/CD processes.Utilize AI-powered development tools to enhance engineering efficiency and code quality.Requirements:Bachelor’s Degree with 1 year of experience or High School Diploma/GED with 5 years of experience.Preferred study areas: Computer Science, Information Systems, Data Science, or related fields.Preferred experience: Data engineering, database management, cloud-based data platforms, and big data technologies.Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or similar.Familiarity with Operational Data Stores, analytics platforms, and data product development.Experience with both cloud-based and on-premises data environments.Exposure to Data Vault modeling and modern data warehousing methodologies.Understanding of data governance, security, compliance, and data quality management.Experience in financial services, banking, or other regulated industries preferred.Knowledge of analytics and visualization platforms like Tableau or Power BI.Experience using AI-powered development tools is a plus.Relevant cloud and data platform certifications (e.g., AWS Certified Cloud Practitioner, SnowPro Core) are advantageous.Pay Range and Compensation Package:If hired in North Carolina, base pay generally ranges between $86,625 and $100,000, determined by skills, experience, location, and other lawful factors.Total compensation may include variable incentives, bonuses, benefits, and other awards as outlined in the offer.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":"2026-11-06T07:32:25.865Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","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":"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 I - Data Platform","description":"About Our Client:The organization operates within the financial services and banking industry. It focuses on addressing challenges related to data management, analytics, and data-driven decision-making in a highly regulated environment. The organization is engaged in modernizing enterprise data platforms by implementing scalable, cloud-based data solutions that support critical business initiatives, leveraging advanced technologies and methodologies to enhance data capabilities across the program.About the Opportunity:The DATA ENGINEER I - DATA PLATFORM role is designed to build and maintain scalable data pipelines and cloud-based data solutions that enable analytics and business intelligence across the organization. This position contributes directly to the modernization of data infrastructure, supporting data quality, integration, and operational efficiency to advance the organization's data and AI transformation objectives.Responsibilities:Design, build, and support scalable data pipelines and cloud-based data solutions using AWS Services, Snowflake, dbt, Python, SQL, and related technologies.Implement data warehouse solutions, dimensional data models, and ETL/ELT processes to support reporting and analytics.Develop and enforce data quality validations, test cases, and controls.Create and maintain data tests, including dbt tests, to uphold data reliability.Support workflow orchestration, monitoring, troubleshooting, and production operations with Airflow and cloud-native tools.Collaborate with business users, product partners, analysts, and technology teams to deliver data solutions aligned with business goals.Adhere to established engineering standards, documentation, and testing procedures to ensure solution quality.Participate in deployments, environment promotions, operational support, and performance optimization using CI/CD processes.Utilize AI-powered development tools to enhance engineering efficiency and code quality.Requirements:Bachelor’s Degree with 1 year of experience or High School Diploma/GED with 5 years of experience.Preferred study areas: Computer Science, Information Systems, Data Science, or related fields.Preferred experience: Data engineering, database management, cloud-based data platforms, and big data technologies.Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or similar.Familiarity with Operational Data Stores, analytics platforms, and data product development.Experience with both cloud-based and on-premises data environments.Exposure to Data Vault modeling and modern data warehousing methodologies.Understanding of data governance, security, compliance, and data quality management.Experience in financial services, banking, or other regulated industries preferred.Knowledge of analytics and visualization platforms like Tableau or Power BI.Experience using AI-powered development tools is a plus.Relevant cloud and data platform certifications (e.g., AWS Certified Cloud Practitioner, SnowPro Core) are advantageous.Pay Range and Compensation Package:If hired in North Carolina, base pay generally ranges between $86,625 and $100,000, determined by skills, experience, location, and other lawful factors.Total compensation may include variable incentives, bonuses, benefits, and other awards as outlined in the offer.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":"2026-11-06T07:32:25.865Z","dateModified":"2026-11-06T07:32:25.865Z","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":"b47fba0f6e4fe5d3f84816aa"},"url":"https://jobsearcher.com/jobs/b47fba0f6e4fe5d3f84816aa"}}