{"schemaVersion":"jobsearcher.job.v1","id":"3c356a47b117f6e83e7109c9","url":"https://jobsearcher.com/jobs/3c356a47b117f6e83e7109c9","canonicalUrl":"https://jobsearcher.com/jobs/3c356a47b117f6e83e7109c9","title":"Data Engineer","description":"Key ResponsibilitiesData Engineering & Pipeline DevelopmentDesign, build, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data for reporting use casesDevelop curated data layers (e.g., bronze/silver/gold) optimized for BI consumptionEnsure high data quality through validation, monitoring, and automated checksReporting Infrastructure EnablementBuild and optimize data models to support scalable reportingPartner with analytics teams to translate business requirements into performant data structuresEnable self-service reporting by creating well-documented, reusable datasetsPlatform & Performance OptimizationImprove performance of data pipelines and queries for large-scale datasetsImplement efficient partitioning, indexing, and query optimization strategiesSupport cloud-based environments (e.g., Azure, AWS, or GCP)Data Governance & ReliabilityEstablish standards for data lineage, documentation, and metadata managementEnsure adherence to data governance, security, and compliance practicesMonitor pipelines and troubleshoot issues proactivelyRequired Qualifications4–8+ years of experience in data engineering or data platform developmentRobust proficiency in SQL, Python, and AWSExperience building pipelines with tools such as:Azure Data Factory, Databricks, Airflow, or equivalentExperience with data warehousing solutions (e.g., Snowflake, Synapse, Redshift, BigQuery)Robust understanding of data modeling concepts (star schema, dimensional modeling)Experience supporting BI/reporting tools (e.g., Power BI, Tableau)Preferred QualificationsExperience building reporting infrastructure from scratch or during organizational expansionFamiliarity with data contracts and data product thinkingExposure to DevOps and CI/CD pipelines for data (Git, automated deployments)Experience working in distributed/global teams","company":"Gtech","rawCompany":"gtech","city":"Malvern","state":"PA","isRemote":false,"isActive":false,"createdAt":"2026-06-17T05:39:04.183Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"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":"Key ResponsibilitiesData Engineering & Pipeline DevelopmentDesign, build, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data for reporting use casesDevelop curated data layers (e.g., bronze/silver/gold) optimized for BI consumptionEnsure high data quality through validation, monitoring, and automated checksReporting Infrastructure EnablementBuild and optimize data models to support scalable reportingPartner with analytics teams to translate business requirements into performant data structuresEnable self-service reporting by creating well-documented, reusable datasetsPlatform & Performance OptimizationImprove performance of data pipelines and queries for large-scale datasetsImplement efficient partitioning, indexing, and query optimization strategiesSupport cloud-based environments (e.g., Azure, AWS, or GCP)Data Governance & ReliabilityEstablish standards for data lineage, documentation, and metadata managementEnsure adherence to data governance, security, and compliance practicesMonitor pipelines and troubleshoot issues proactivelyRequired Qualifications4–8+ years of experience in data engineering or data platform developmentRobust proficiency in SQL, Python, and AWSExperience building pipelines with tools such as:Azure Data Factory, Databricks, Airflow, or equivalentExperience with data warehousing solutions (e.g., Snowflake, Synapse, Redshift, BigQuery)Robust understanding of data modeling concepts (star schema, dimensional modeling)Experience supporting BI/reporting tools (e.g., Power BI, Tableau)Preferred QualificationsExperience building reporting infrastructure from scratch or during organizational expansionFamiliarity with data contracts and data product thinkingExposure to DevOps and CI/CD pipelines for data (Git, automated deployments)Experience working in distributed/global teams","datePosted":"2026-06-17T05:39:04.183Z","dateModified":"2026-06-17T05:39:04.183Z","hiringOrganization":{"@type":"Organization","name":"Gtech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Malvern","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3c356a47b117f6e83e7109c9"},"url":"https://jobsearcher.com/jobs/3c356a47b117f6e83e7109c9"}}