{"schemaVersion":"jobsearcher.job.v1","id":"8caa5b606fd1bd67d51bc919","url":"https://jobsearcher.com/jobs/8caa5b606fd1bd67d51bc919","canonicalUrl":"https://jobsearcher.com/jobs/8caa5b606fd1bd67d51bc919","title":"Data Engineer","description":"Hiring for a 3 months Remote role in the US.Position Overview:We are seeking experienced Data Engineers to support the design, development, testing, deployment, and operationalization of analytics-ready data models and associated data pipelines. These engineers will work as an extension of the existing engineering organization and execute work from a jointly prioritized backlog. Key Responsibilities:Design logical and physical data models.Develop analytics-ready Tier-2 data models using dimensional modeling and star-schema principles where appropriate.Define facts, dimensions, relationships, measures, and transformations.Develop ingestion, transformation, and orchestration pipelines.Implement batch and streaming data-processing workflows.Support data replication and historical backfills.Develop data-quality controls and validation logic.Perform unit, integration, regression, and data-quality testing.Reconcile source and target datasets.Prepare production-ready code, configuration, and models.Participate in code reviews and approved release processes.Support production deployment and post-deployment validation.Troubleshoot defects and perform root-cause analysis.Create technical documentation, release notes, and operational materials.Participate in daily stand-ups, design reviews, demonstrations, and knowledge-transfer activities.Required Qualifications:Five or more years of professional data engineering or distributed-systems experience.Strong production experience with batch and streaming data architectures.Experience building and maintaining production data pipelines.Experience with dimensional data modeling and star-schema design.Strong programming skills using Python, Java, and SQL.Experience with data quality, automated testing, and production troubleshooting.Experience with source control, CI/CD, code reviews, and agile engineering practices.Ability to work effectively within a distributed global engineering team.Required Technologies:Apache IcebergApache AirflowApache SparkApache KafkaApache FlinkSnowflakeJava and PythonAmazon Web ServicesSQL and data modeling","company":"Applicantz","rawCompany":"applicantz","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-10T09:04:55.812Z","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":"Data Engineer","description":"Hiring for a 3 months Remote role in the US.Position Overview:We are seeking experienced Data Engineers to support the design, development, testing, deployment, and operationalization of analytics-ready data models and associated data pipelines. These engineers will work as an extension of the existing engineering organization and execute work from a jointly prioritized backlog. Key Responsibilities:Design logical and physical data models.Develop analytics-ready Tier-2 data models using dimensional modeling and star-schema principles where appropriate.Define facts, dimensions, relationships, measures, and transformations.Develop ingestion, transformation, and orchestration pipelines.Implement batch and streaming data-processing workflows.Support data replication and historical backfills.Develop data-quality controls and validation logic.Perform unit, integration, regression, and data-quality testing.Reconcile source and target datasets.Prepare production-ready code, configuration, and models.Participate in code reviews and approved release processes.Support production deployment and post-deployment validation.Troubleshoot defects and perform root-cause analysis.Create technical documentation, release notes, and operational materials.Participate in daily stand-ups, design reviews, demonstrations, and knowledge-transfer activities.Required Qualifications:Five or more years of professional data engineering or distributed-systems experience.Strong production experience with batch and streaming data architectures.Experience building and maintaining production data pipelines.Experience with dimensional data modeling and star-schema design.Strong programming skills using Python, Java, and SQL.Experience with data quality, automated testing, and production troubleshooting.Experience with source control, CI/CD, code reviews, and agile engineering practices.Ability to work effectively within a distributed global engineering team.Required Technologies:Apache IcebergApache AirflowApache SparkApache KafkaApache FlinkSnowflakeJava and PythonAmazon Web ServicesSQL and data modeling","datePosted":"2026-09-10T09:04:55.812Z","dateModified":"2026-09-10T09:04:55.812Z","hiringOrganization":{"@type":"Organization","name":"Applicantz","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8caa5b606fd1bd67d51bc919"},"url":"https://jobsearcher.com/jobs/8caa5b606fd1bd67d51bc919"}}