{"schemaVersion":"jobsearcher.job.v1","id":"a3d37d951dc4c17db3f09257","url":"https://jobsearcher.com/jobs/a3d37d951dc4c17db3f09257","canonicalUrl":"https://jobsearcher.com/jobs/a3d37d951dc4c17db3f09257","title":"Database Developer - Mid-Level","description":"Our client, a leading organization in the financial services industry, is seeking a Data Engineer to join their dynamic team. As a Data Engineer, you will be an integral part of the Intelligent Planning and Analytics department supporting data development initiatives. The ideal candidate will demonstrate strong technical skills, collaborative spirit, problem-solving abilities, and a passion for innovative data solutions, which will align successfully within the organization.\nJob Title:Data Engineer\nLocation: Lone Tree, CO\nPay Range:$52\nWhat's the Job?\nDesign and develop scalable data marts and pipelines in Google Cloud Platform to support Answer Engine Optimization (AEO) initiatives.\nCreate automated data ingestion processes from third-party APIs, ensuring robust authentication, error handling, and logging.\nDevelop complex SQL queries to transform, validate, and integrate data from multiple sources for reporting and AI applications.\nPartner with internal technology teams to prepare data pipelines and products for production deployment.\nDocument data architecture, workflows, and business rules to ensure maintainability and knowledge sharing across teams.\nWhat's Needed?\nProfessional experience in data engineering, analytics engineering, or related technical fields.\nAdvanced SQL skills with the ability to write complex queries from scratch.\nProficiency in Python for API integration, data extraction, and automation tasks.\nHands-on experience designing and building data pipelines and analytical data models.\nExperience working with Google Cloud Platform and cloud-based data services.\nWhat's in it for me?\nOpportunity to work on innovative data projects supporting AI-enabled analytics.\nCollaborative environment with cross-functional teams and technology partners.\nChance to develop and enhance your skills in cloud data platforms and modern data engineering tools.\nEngagement in a project with potential for extension beyond the initial contract period.\nSupportive work environment that values diversity, inclusion, and professional growth.","company":"Experis","rawCompany":"experis","city":"Lone Tree","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-07T10:40:06.707Z","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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Database Developer - Mid-Level","description":"Our client, a leading organization in the financial services industry, is seeking a Data Engineer to join their dynamic team. As a Data Engineer, you will be an integral part of the Intelligent Planning and Analytics department supporting data development initiatives. The ideal candidate will demonstrate strong technical skills, collaborative spirit, problem-solving abilities, and a passion for innovative data solutions, which will align successfully within the organization.\nJob Title:Data Engineer\nLocation: Lone Tree, CO\nPay Range:$52\nWhat's the Job?\nDesign and develop scalable data marts and pipelines in Google Cloud Platform to support Answer Engine Optimization (AEO) initiatives.\nCreate automated data ingestion processes from third-party APIs, ensuring robust authentication, error handling, and logging.\nDevelop complex SQL queries to transform, validate, and integrate data from multiple sources for reporting and AI applications.\nPartner with internal technology teams to prepare data pipelines and products for production deployment.\nDocument data architecture, workflows, and business rules to ensure maintainability and knowledge sharing across teams.\nWhat's Needed?\nProfessional experience in data engineering, analytics engineering, or related technical fields.\nAdvanced SQL skills with the ability to write complex queries from scratch.\nProficiency in Python for API integration, data extraction, and automation tasks.\nHands-on experience designing and building data pipelines and analytical data models.\nExperience working with Google Cloud Platform and cloud-based data services.\nWhat's in it for me?\nOpportunity to work on innovative data projects supporting AI-enabled analytics.\nCollaborative environment with cross-functional teams and technology partners.\nChance to develop and enhance your skills in cloud data platforms and modern data engineering tools.\nEngagement in a project with potential for extension beyond the initial contract period.\nSupportive work environment that values diversity, inclusion, and professional growth.","datePosted":"2026-08-07T10:40:06.707Z","dateModified":"2026-08-07T10:40:06.707Z","hiringOrganization":{"@type":"Organization","name":"Experis","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lone Tree","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a3d37d951dc4c17db3f09257"},"url":"https://jobsearcher.com/jobs/a3d37d951dc4c17db3f09257"}}