{"schemaVersion":"jobsearcher.job.v1","id":"6ca6f722a9318dce4dff63bd","url":"https://jobsearcher.com/jobs/6ca6f722a9318dce4dff63bd","canonicalUrl":"https://jobsearcher.com/jobs/6ca6f722a9318dce4dff63bd","title":"Data Engineer","description":"Role: Data EngineerLocation: Denver, CO - 4 days per week work from Client officePlease find below JD for your reference.Primary Skill Expectations:- Strong in SQL, Spark , Good Communication.Job OverviewWe are seeking a skilled professional with strong expertise in Python, Spark, and leading AI/ML frameworks to design and build scalable, intelligent data solutions. The ideal candidate will have hands-on experience with big data platforms and distributed data processing.Design, develop, and maintain scalable ETL/ELT data pipelines using Apache Spark and SQLBuild and optimize batch and near real-time data processing workflows across large-scale datasetsDevelop data ingestion, transformation, and data quality frameworks for enterprise data platformsWork with Delta Lake, data lakes, and cloud-based big data environments to ensure reliable data processingPerform data modeling, query tuning, and performance optimization for large datasetsIntegrate data from multiple source systems, databases, and external platformsImplement data validation, monitoring, and troubleshooting processes to ensure data integrityCollaborate with business analysts, architects, and cross-functional teams to deliver data-driven solutionsSupport data governance, security, and compliance requirements across the data ecosystemRequired SkillsStrong proficiency in Apache Spark (PySpark) and SQLExtnsive experience developing and optimizing ETL/ELT pipelinesStrong understanding of distributed data processing concepts and Spark architectureExperience working with relational and non-relational databasesProficiency in data modeling, performance tuning, and query optimizationExperience with workflow orchestration and scheduling tools (e.g., Airflow, Control-M, Azure Data Factory, or similar)Familiarity with cloud data platforms such as Azure, AWS, or Google CloudStrong problem-solving, analytical, and troubleshooting skillsThanks & Regards,Pankaj Singh","company":"Ca One","rawCompany":"ca one","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-07-27T12:05:08.421Z","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":"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","description":"Role: Data EngineerLocation: Denver, CO - 4 days per week work from Client officePlease find below JD for your reference.Primary Skill Expectations:- Strong in SQL, Spark , Good Communication.Job OverviewWe are seeking a skilled professional with strong expertise in Python, Spark, and leading AI/ML frameworks to design and build scalable, intelligent data solutions. The ideal candidate will have hands-on experience with big data platforms and distributed data processing.Design, develop, and maintain scalable ETL/ELT data pipelines using Apache Spark and SQLBuild and optimize batch and near real-time data processing workflows across large-scale datasetsDevelop data ingestion, transformation, and data quality frameworks for enterprise data platformsWork with Delta Lake, data lakes, and cloud-based big data environments to ensure reliable data processingPerform data modeling, query tuning, and performance optimization for large datasetsIntegrate data from multiple source systems, databases, and external platformsImplement data validation, monitoring, and troubleshooting processes to ensure data integrityCollaborate with business analysts, architects, and cross-functional teams to deliver data-driven solutionsSupport data governance, security, and compliance requirements across the data ecosystemRequired SkillsStrong proficiency in Apache Spark (PySpark) and SQLExtnsive experience developing and optimizing ETL/ELT pipelinesStrong understanding of distributed data processing concepts and Spark architectureExperience working with relational and non-relational databasesProficiency in data modeling, performance tuning, and query optimizationExperience with workflow orchestration and scheduling tools (e.g., Airflow, Control-M, Azure Data Factory, or similar)Familiarity with cloud data platforms such as Azure, AWS, or Google CloudStrong problem-solving, analytical, and troubleshooting skillsThanks & Regards,Pankaj Singh","datePosted":"2026-07-27T12:05:08.421Z","dateModified":"2026-07-27T12:05:08.421Z","hiringOrganization":{"@type":"Organization","name":"Ca One","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6ca6f722a9318dce4dff63bd"},"url":"https://jobsearcher.com/jobs/6ca6f722a9318dce4dff63bd"}}