{"schemaVersion":"jobsearcher.job.v1","id":"3dbaa7cedf79eaeee1ec98f0","url":"https://jobsearcher.com/jobs/3dbaa7cedf79eaeee1ec98f0","canonicalUrl":"https://jobsearcher.com/jobs/3dbaa7cedf79eaeee1ec98f0","title":"Data Developer","description":"Data DeveloperThe Data Developer works within the ETL and Operations team to build high quality data pipelines driving analytic solutions from diverse, disparate sources of data.This role requires a working understanding of data architecture, data engineering, and data analysis. The ideal candidate is a skilled data engineer with experience creating data products supporting analytic solutions. They are able to identify and implement solutions in a highly technical environment and work as part of a technical, cross-functional team. Strong problem-solving and troubleshooting skills are a must.This role focuses on designing, developing, and maintaining datasets within AWS with oversight and support from Lead Developers. Day-to-day responsibilities include:Coordinating, building, and managing new data ingestsImplementing updates, fixes, and optimizations across suite of production jobsProviding feedback on and enacting changes for improvements across the team including both technical and process updatesLearning about and becoming familiar with data assets, processing jobs and pipelines, and toolsPartnering with data analysts and data scientists to design, build, and deploy aggregation processesTop Skills:Hadoop/Hive experienceStrong SQLAWS experience (EMR, Lambda, Glue, Step Functions)Experience working with large data sets (billions of records per day)Write and review codePython scripting (PySpark, control scripts)Building and managing data pipelinesQuery and data pipeline optimizationStrong communication and collaboration skillsAbility to learn new technologies and skills to incorporate into existing workNice to have:SparkScalaGitShell scriptingLinuxRequired Skills: SQL (All ETL done with TSQL), Hive or Hadoop, AWS Basic Qualification: Data engineer doing ETL work for a Hadoop to AWS migration Additional Skills: Data engineer doing ETL work for a Hadoop to AWS migration Background Check: Yes Notes: Hybrid (50% remote / 50% onsite in Denver, CO) - can be remote for 2-3 months while relocating.","company":"Software Technology","rawCompany":"software technology","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-06-26T02:50:16.676Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","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":"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 Developer","description":"Data DeveloperThe Data Developer works within the ETL and Operations team to build high quality data pipelines driving analytic solutions from diverse, disparate sources of data.This role requires a working understanding of data architecture, data engineering, and data analysis. The ideal candidate is a skilled data engineer with experience creating data products supporting analytic solutions. They are able to identify and implement solutions in a highly technical environment and work as part of a technical, cross-functional team. Strong problem-solving and troubleshooting skills are a must.This role focuses on designing, developing, and maintaining datasets within AWS with oversight and support from Lead Developers. Day-to-day responsibilities include:Coordinating, building, and managing new data ingestsImplementing updates, fixes, and optimizations across suite of production jobsProviding feedback on and enacting changes for improvements across the team including both technical and process updatesLearning about and becoming familiar with data assets, processing jobs and pipelines, and toolsPartnering with data analysts and data scientists to design, build, and deploy aggregation processesTop Skills:Hadoop/Hive experienceStrong SQLAWS experience (EMR, Lambda, Glue, Step Functions)Experience working with large data sets (billions of records per day)Write and review codePython scripting (PySpark, control scripts)Building and managing data pipelinesQuery and data pipeline optimizationStrong communication and collaboration skillsAbility to learn new technologies and skills to incorporate into existing workNice to have:SparkScalaGitShell scriptingLinuxRequired Skills: SQL (All ETL done with TSQL), Hive or Hadoop, AWS Basic Qualification: Data engineer doing ETL work for a Hadoop to AWS migration Additional Skills: Data engineer doing ETL work for a Hadoop to AWS migration Background Check: Yes Notes: Hybrid (50% remote / 50% onsite in Denver, CO) - can be remote for 2-3 months while relocating.","datePosted":"2026-06-26T02:50:16.676Z","dateModified":"2026-06-26T02:50:16.676Z","hiringOrganization":{"@type":"Organization","name":"Software Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3dbaa7cedf79eaeee1ec98f0"},"url":"https://jobsearcher.com/jobs/3dbaa7cedf79eaeee1ec98f0"}}