{"schemaVersion":"jobsearcher.job.v1","id":"f0e73ba6dd891351fd0ba3fb","url":"https://jobsearcher.com/jobs/f0e73ba6dd891351fd0ba3fb","canonicalUrl":"https://jobsearcher.com/jobs/f0e73ba6dd891351fd0ba3fb","title":"Data Engineer / Data Scientist","description":"We are seeking a highly skilled Data Engineer / Data Scientist with strong expertise in Cloud Data Engineering, Artificial Intelligence, and Advanced Analytics. The ideal candidate will have hands-on experience designing scalable data pipelines, developing enterprise-grade data solutions, and implementing production-ready AI applications, including Large Language Models (LLMs) and Generative AI.This role requires a strong foundation in modern data platforms, machine learning, and cloud technologies to build innovative solutions that drive business insights and automation.Key ResponsibilitiesDesign, build, and optimize scalable data pipelines and data models to support analytics, AI, and business intelligence initiatives.Develop and maintain ETL/ELT workflows using Azure Data Factory (ADF) and cloud-native data integration technologies.Build and manage enterprise data solutions using Snowflake for high-performance, cost-efficient analytics.Design, develop, and deploy AI/ML solutions, including Deep Learning, NLP, Large Language Models (LLMs), and Generative AI.Perform AI experimentation, model development, and rapid prototyping to solve business challenges.Develop end-to-end machine learning pipelines, including data preparation, feature engineering, model deployment, and monitoring.Create interactive dashboards and analytical applications that deliver actionable business insights.Implement CI/CD pipelines for data engineering and machine learning workflows to improve automation and deployment efficiency.Collaborate with cross-functional teams, including Engineering, Product, Analytics, and Business stakeholders, to deliver enterprise data solutions.Ensure adherence to data governance, security, quality, and observability best practices.Stay current with emerging technologies in AI, Data Engineering, and Cloud Analytics to drive continuous innovation.Required QualificationsStrong proficiency in Python for data engineering, analytics, and machine learning.Hands-on experience with Snowflake as a cloud data warehouse.Experience developing ETL/ELT pipelines using Azure Data Factory (ADF) or similar data integration tools.Strong experience with AI/ML, including:Deep LearningNatural Language Processing (NLP)Large Language Models (LLMs)Generative AIExperience building AI-driven solutions and analytical models for real-world business applications.Strong understanding of data modeling, data quality, and scalable data architecture.Experience implementing CI/CD pipelines using modern DevOps practices.Experience with BI and visualization tools such as Power BI or Tableau.Experience with cloud platforms (Azure preferred; AWS or GCP acceptable).Excellent communication skills with the ability to translate technical concepts into business value.Preferred QualificationsExperience with MLOps, model deployment, monitoring, and observability.Experience working with Telecom data,including:LTEVoLTESMSData UsageRoamingFamiliarity with:Vector DatabasesEmbeddingsRetrieval-Augmented Generation (RAG)Enterprise LLM integrationsABOUT BRICKRED SYSTEMSBrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers","company":"Brickred Systems","rawCompany":"brickred systems","city":"Wa","state":"UW","isRemote":false,"isActive":false,"createdAt":"2026-08-05T09:44:45.679Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer / Data Scientist","description":"We are seeking a highly skilled Data Engineer / Data Scientist with strong expertise in Cloud Data Engineering, Artificial Intelligence, and Advanced Analytics. The ideal candidate will have hands-on experience designing scalable data pipelines, developing enterprise-grade data solutions, and implementing production-ready AI applications, including Large Language Models (LLMs) and Generative AI.This role requires a strong foundation in modern data platforms, machine learning, and cloud technologies to build innovative solutions that drive business insights and automation.Key ResponsibilitiesDesign, build, and optimize scalable data pipelines and data models to support analytics, AI, and business intelligence initiatives.Develop and maintain ETL/ELT workflows using Azure Data Factory (ADF) and cloud-native data integration technologies.Build and manage enterprise data solutions using Snowflake for high-performance, cost-efficient analytics.Design, develop, and deploy AI/ML solutions, including Deep Learning, NLP, Large Language Models (LLMs), and Generative AI.Perform AI experimentation, model development, and rapid prototyping to solve business challenges.Develop end-to-end machine learning pipelines, including data preparation, feature engineering, model deployment, and monitoring.Create interactive dashboards and analytical applications that deliver actionable business insights.Implement CI/CD pipelines for data engineering and machine learning workflows to improve automation and deployment efficiency.Collaborate with cross-functional teams, including Engineering, Product, Analytics, and Business stakeholders, to deliver enterprise data solutions.Ensure adherence to data governance, security, quality, and observability best practices.Stay current with emerging technologies in AI, Data Engineering, and Cloud Analytics to drive continuous innovation.Required QualificationsStrong proficiency in Python for data engineering, analytics, and machine learning.Hands-on experience with Snowflake as a cloud data warehouse.Experience developing ETL/ELT pipelines using Azure Data Factory (ADF) or similar data integration tools.Strong experience with AI/ML, including:Deep LearningNatural Language Processing (NLP)Large Language Models (LLMs)Generative AIExperience building AI-driven solutions and analytical models for real-world business applications.Strong understanding of data modeling, data quality, and scalable data architecture.Experience implementing CI/CD pipelines using modern DevOps practices.Experience with BI and visualization tools such as Power BI or Tableau.Experience with cloud platforms (Azure preferred; AWS or GCP acceptable).Excellent communication skills with the ability to translate technical concepts into business value.Preferred QualificationsExperience with MLOps, model deployment, monitoring, and observability.Experience working with Telecom data,including:LTEVoLTESMSData UsageRoamingFamiliarity with:Vector DatabasesEmbeddingsRetrieval-Augmented Generation (RAG)Enterprise LLM integrationsABOUT BRICKRED SYSTEMSBrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers","datePosted":"2026-08-05T09:44:45.679Z","dateModified":"2026-08-05T09:44:45.679Z","hiringOrganization":{"@type":"Organization","name":"Brickred Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wa","addressRegion":"UW","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f0e73ba6dd891351fd0ba3fb"},"url":"https://jobsearcher.com/jobs/f0e73ba6dd891351fd0ba3fb"}}