{"schemaVersion":"jobsearcher.job.v1","id":"cbc62841c1ff19f4e2d53d2a","url":"https://jobsearcher.com/jobs/cbc62841c1ff19f4e2d53d2a","canonicalUrl":"https://jobsearcher.com/jobs/cbc62841c1ff19f4e2d53d2a","title":"Data Engineer","description":"Job Description:Focus:Snowflake, AWS, Iceberg, Data Governance, and Ontology-Driven Data Models\r\nData Architect- Familiarity with data cataloging, governance, lineage, metadata management, and policy-driven data access.\r\nUnderstanding of ontology, semantic modeling, taxonomies, business glossaries, or knowledge graph concepts. + Claude Mandatory + AWS working knowledge + Oil and Natural Gas MidStream Domain\r\nRole Summary:We are looking for a Data Engineer to help design, build, and scale a modern cloud data platform centered on Snowflake and AWS. The ideal candidate has strong data engineering fundamentals, experience with enterprise data platforms, and the ability to work with ontologies, semantic models, metadata, and governed data products.\r\nThis role will support strategic data initiatives using Snowflake, AWS, Iceberg managed tables, Snowflake Catalog, Snowflake Horizon, Informatica, and dbt. The Data Engineer will help create trusted, reusable data assets that support applications, analytics, AI, and business intelligence use cases.\r\nKey Responsibilities:Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources.\r\nDevelop data ingestion and extract-load processes using Informatica, aligning with enterprise standards and existing in-house capabilities.\r\nBuild transformation logic using dbt, including modular models, testing, documentation, and deployment workflows.\r\nDesign and manage data structures in Snowflake, with Snowflake positioned as the central strategic data platform.\r\nWork with AWS-based data services and infrastructure, supporting applications and data products running in the organization’s AWS environment.\r\nSupport data architecture using Iceberg managed tables, including open table formats, interoperability, cataloging, and governed access patterns.\r\nUse Snowflake Catalog and Snowflake Horizon to support metadata management, data discovery, governance, lineage, policy enforcement, and trusted data sharing.\r\nCollaborate with data architects, governance teams, analysts, application teams, and business stakeholders to define trusted data products.\r\nWork with domain experts to understand business concepts, entities, relationships, and terminology.\r\nSupport ontology-driven modeling, including entity definitions, taxonomies, relationships, business glossaries, and semantic mappings.\r\nTranslate business and domain concepts into logical data models, physical data models, and reusable data products.\r\nImplement data quality checks, validation rules, lineage, observability, and governance controls.\r\nSupport data products and applications such as news intelligence, asset intelligence, analytics, and AI-enabled use cases.\r\nEnsure data solutions meet enterprise requirements for security, privacy, access control, performance, and reliability.\r\nRequired Skills:Strong experience in data engineering, data modeling, ETL/ELT, and cloud data platform development.\r\nHands-on experience with Snowflake, including data modeling, performance optimization, access controls, and scalable warehouse/lakehouse patterns.\r\nExperience working in AWS cloud environments.\r\nExperience with Informatica or similar enterprise data integration platforms for extract-load and ingestion patterns.\r\nExperience with dbt for data transformations, testing, documentation, and analytics engineering workflows.\r\nUnderstanding of Apache Iceberg or open table formats, including managed tables, schema evolution, interoperability, and catalog-based access.\r\nFamiliarity with data cataloging, governance, lineage, metadata management, and policy-driven data access.\r\nUnderstanding of ontology, semantic modeling, taxonomies, business glossaries, or knowledge graph concepts.\r\nStrong SQL skills and experience with Python or another data engineering language.\r\nAbility to work with business stakeholders to define data entities, relationships, metrics, and data product requirements.\r\nStrong communication, documentation, and problem-solving skills.\r\nPreferred Skills:Experience with Snowflake Catalog and Snowflake Horizon.\r\nExperience building governed data products for analytics, AI, or application use cases.\r\nExperience with enterprise governance tooling, especially Informatica governance capabilities.\r\nExperience with RDF, OWL, SHACL, SPARQL, graph databases, or knowledge graph platforms.\r\nExperience designing semantic layers, business glossaries, metadata models, or domain ontologies.\r\nExperience with CI/CD, Git, automated testing, and deployment workflows for data pipelines.\r\nExperience with data observability, lineage tracking, data contracts, and data quality frameworks.\r\nExperience working in complex enterprise data environments with multiple systems, domains, and stakeholder groups.\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","company":"Quantum Technologies","rawCompany":"quantum technologies","city":"Houston","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-11-04T02:16:57.175Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"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":"Job Description:Focus:Snowflake, AWS, Iceberg, Data Governance, and Ontology-Driven Data Models\r\nData Architect- Familiarity with data cataloging, governance, lineage, metadata management, and policy-driven data access.\r\nUnderstanding of ontology, semantic modeling, taxonomies, business glossaries, or knowledge graph concepts. + Claude Mandatory + AWS working knowledge + Oil and Natural Gas MidStream Domain\r\nRole Summary:We are looking for a Data Engineer to help design, build, and scale a modern cloud data platform centered on Snowflake and AWS. The ideal candidate has strong data engineering fundamentals, experience with enterprise data platforms, and the ability to work with ontologies, semantic models, metadata, and governed data products.\r\nThis role will support strategic data initiatives using Snowflake, AWS, Iceberg managed tables, Snowflake Catalog, Snowflake Horizon, Informatica, and dbt. The Data Engineer will help create trusted, reusable data assets that support applications, analytics, AI, and business intelligence use cases.\r\nKey Responsibilities:Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources.\r\nDevelop data ingestion and extract-load processes using Informatica, aligning with enterprise standards and existing in-house capabilities.\r\nBuild transformation logic using dbt, including modular models, testing, documentation, and deployment workflows.\r\nDesign and manage data structures in Snowflake, with Snowflake positioned as the central strategic data platform.\r\nWork with AWS-based data services and infrastructure, supporting applications and data products running in the organization’s AWS environment.\r\nSupport data architecture using Iceberg managed tables, including open table formats, interoperability, cataloging, and governed access patterns.\r\nUse Snowflake Catalog and Snowflake Horizon to support metadata management, data discovery, governance, lineage, policy enforcement, and trusted data sharing.\r\nCollaborate with data architects, governance teams, analysts, application teams, and business stakeholders to define trusted data products.\r\nWork with domain experts to understand business concepts, entities, relationships, and terminology.\r\nSupport ontology-driven modeling, including entity definitions, taxonomies, relationships, business glossaries, and semantic mappings.\r\nTranslate business and domain concepts into logical data models, physical data models, and reusable data products.\r\nImplement data quality checks, validation rules, lineage, observability, and governance controls.\r\nSupport data products and applications such as news intelligence, asset intelligence, analytics, and AI-enabled use cases.\r\nEnsure data solutions meet enterprise requirements for security, privacy, access control, performance, and reliability.\r\nRequired Skills:Strong experience in data engineering, data modeling, ETL/ELT, and cloud data platform development.\r\nHands-on experience with Snowflake, including data modeling, performance optimization, access controls, and scalable warehouse/lakehouse patterns.\r\nExperience working in AWS cloud environments.\r\nExperience with Informatica or similar enterprise data integration platforms for extract-load and ingestion patterns.\r\nExperience with dbt for data transformations, testing, documentation, and analytics engineering workflows.\r\nUnderstanding of Apache Iceberg or open table formats, including managed tables, schema evolution, interoperability, and catalog-based access.\r\nFamiliarity with data cataloging, governance, lineage, metadata management, and policy-driven data access.\r\nUnderstanding of ontology, semantic modeling, taxonomies, business glossaries, or knowledge graph concepts.\r\nStrong SQL skills and experience with Python or another data engineering language.\r\nAbility to work with business stakeholders to define data entities, relationships, metrics, and data product requirements.\r\nStrong communication, documentation, and problem-solving skills.\r\nPreferred Skills:Experience with Snowflake Catalog and Snowflake Horizon.\r\nExperience building governed data products for analytics, AI, or application use cases.\r\nExperience with enterprise governance tooling, especially Informatica governance capabilities.\r\nExperience with RDF, OWL, SHACL, SPARQL, graph databases, or knowledge graph platforms.\r\nExperience designing semantic layers, business glossaries, metadata models, or domain ontologies.\r\nExperience with CI/CD, Git, automated testing, and deployment workflows for data pipelines.\r\nExperience with data observability, lineage tracking, data contracts, and data quality frameworks.\r\nExperience working in complex enterprise data environments with multiple systems, domains, and stakeholder groups.\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","datePosted":"2026-11-04T02:16:57.175Z","dateModified":"2026-11-04T02:16:57.175Z","hiringOrganization":{"@type":"Organization","name":"Quantum Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Houston","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cbc62841c1ff19f4e2d53d2a"},"url":"https://jobsearcher.com/jobs/cbc62841c1ff19f4e2d53d2a"}}