{"schemaVersion":"jobsearcher.job.v1","id":"e2e33f1000633c5c98fbfadb","url":"https://jobsearcher.com/jobs/e2e33f1000633c5c98fbfadb","canonicalUrl":"https://jobsearcher.com/jobs/e2e33f1000633c5c98fbfadb","title":"Data Engineer","description":"Data EngineerWe’re looking for an experienced Data Engineer to design, build, and maintain scalable data platforms and pipelines that power analytics, reporting, machine learning, and AI applications.This is a hands-on engineering role for someone who enjoys solving complex data problems, working with large datasets, and building reliable systems that make data accessible and useful across the organization.What You’ll DoDesign, build, and maintain scalable ETL/ELT data pipelinesDevelop data ingestion and transformation processes across structured, semi-structured, and unstructured data sourcesBuild and optimize data warehouses, data lakes, and lakehouse architecturesDevelop reliable batch and real-time/streaming data pipelinesDesign data models that support analytics, reporting, operational applications, and AI/ML use casesIntegrate data from APIs, databases, SaaS platforms, files, and third-party systemsImprove data quality, reliability, observability, and performanceBuild automated processes for data validation, testing, monitoring, and error handlingOptimize queries, storage, compute, and pipeline performanceImplement appropriate data security, governance, access controls, and privacy standardsPartner with data scientists, AI/ML engineers, analysts, software engineers, and business stakeholdersSupport data infrastructure through CI/CD, infrastructure automation, and modern DataOps practicesTroubleshoot complex production data issues and identify opportunities to improve platform scalability and reliabilityWhat We’re Looking For4+ years of professional Data Engineering or related experienceStrong proficiency with SQLStrong programming skills in PythonExperience designing and building production-grade ETL/ELT pipelinesExperience with modern cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Microsoft FabricHands-on experience with AWS, Azure, or GCPExperience with data transformation and orchestration technologies such as dbt, Airflow, Dagster, Prefect, or similarExperience working with relational and NoSQL databasesUnderstanding of dimensional modeling, data warehousing, lakehouse architectures, and distributed data processingExperience with technologies such as Spark, Kafka, or similar distributed/streaming platformsFamiliarity with Git, CI/CD, Docker, and modern software engineering practicesStrong understanding of data quality, lineage, governance, security, and observabilityAbility to translate business and technical requirements into scalable data solutionsNice to HaveExperience building data infrastructure for AI/ML and Generative AI applicationsExperience with vector databases, embeddings, or unstructured data pipelinesExperience with real-time event-driven architecturesExperience with Terraform or other Infrastructure-as-Code toolsExperience with KubernetesExperience implementing data catalogs, lineage, and governance platformsExperience supporting high-volume or highly distributed data environmentsWhat Success Looks LikeYou build data systems people can trust. Your pipelines are reliable, scalable, observable, and designed with downstream users in mind. You understand that strong data engineering isn't just about moving data from one place to another—it's about creating a foundation that allows analytics, applications, and AI systems to operate effectively at scale.","company":"Prodigy Resources","rawCompany":"prodigy resources","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-12T07:53:11.119Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Data EngineerWe’re looking for an experienced Data Engineer to design, build, and maintain scalable data platforms and pipelines that power analytics, reporting, machine learning, and AI applications.This is a hands-on engineering role for someone who enjoys solving complex data problems, working with large datasets, and building reliable systems that make data accessible and useful across the organization.What You’ll DoDesign, build, and maintain scalable ETL/ELT data pipelinesDevelop data ingestion and transformation processes across structured, semi-structured, and unstructured data sourcesBuild and optimize data warehouses, data lakes, and lakehouse architecturesDevelop reliable batch and real-time/streaming data pipelinesDesign data models that support analytics, reporting, operational applications, and AI/ML use casesIntegrate data from APIs, databases, SaaS platforms, files, and third-party systemsImprove data quality, reliability, observability, and performanceBuild automated processes for data validation, testing, monitoring, and error handlingOptimize queries, storage, compute, and pipeline performanceImplement appropriate data security, governance, access controls, and privacy standardsPartner with data scientists, AI/ML engineers, analysts, software engineers, and business stakeholdersSupport data infrastructure through CI/CD, infrastructure automation, and modern DataOps practicesTroubleshoot complex production data issues and identify opportunities to improve platform scalability and reliabilityWhat We’re Looking For4+ years of professional Data Engineering or related experienceStrong proficiency with SQLStrong programming skills in PythonExperience designing and building production-grade ETL/ELT pipelinesExperience with modern cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Microsoft FabricHands-on experience with AWS, Azure, or GCPExperience with data transformation and orchestration technologies such as dbt, Airflow, Dagster, Prefect, or similarExperience working with relational and NoSQL databasesUnderstanding of dimensional modeling, data warehousing, lakehouse architectures, and distributed data processingExperience with technologies such as Spark, Kafka, or similar distributed/streaming platformsFamiliarity with Git, CI/CD, Docker, and modern software engineering practicesStrong understanding of data quality, lineage, governance, security, and observabilityAbility to translate business and technical requirements into scalable data solutionsNice to HaveExperience building data infrastructure for AI/ML and Generative AI applicationsExperience with vector databases, embeddings, or unstructured data pipelinesExperience with real-time event-driven architecturesExperience with Terraform or other Infrastructure-as-Code toolsExperience with KubernetesExperience implementing data catalogs, lineage, and governance platformsExperience supporting high-volume or highly distributed data environmentsWhat Success Looks LikeYou build data systems people can trust. Your pipelines are reliable, scalable, observable, and designed with downstream users in mind. You understand that strong data engineering isn't just about moving data from one place to another—it's about creating a foundation that allows analytics, applications, and AI systems to operate effectively at scale.","datePosted":"2026-09-12T07:53:11.119Z","dateModified":"2026-09-12T07:53:11.119Z","hiringOrganization":{"@type":"Organization","name":"Prodigy Resources","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e2e33f1000633c5c98fbfadb"},"url":"https://jobsearcher.com/jobs/e2e33f1000633c5c98fbfadb"}}