{"schemaVersion":"jobsearcher.job.v1","id":"91b0cdb748b99e4ceb76402b","url":"https://jobsearcher.com/jobs/91b0cdb748b99e4ceb76402b","canonicalUrl":"https://jobsearcher.com/jobs/91b0cdb748b99e4ceb76402b","title":"Data Engineer","description":"Roles and ResponsibilitiesDesigned, developed, and maintained scalable data pipelines to extract, transform, and load data from multiple sources.\r\nDeveloped ETL/ELT workflows using Python, SQL, PySpark, and Azure Data Factory.\r\nBuilt and optimized data processing solutions using Apache Spark and Databricks.\r\nWorked with structured and unstructured data from relational databases, APIs, flat files, and cloud storage.\r\nDesigned and implemented data integration solutions to support business intelligence and analytics requirements.\r\nDeveloped complex SQL queries, stored procedures, views, and functions to transform and process large datasets.\r\nImplemented data validation, data cleansing, data transformation, and data quality checks to ensure data accuracy.\r\nWorked with Azure Data Lake Storage and cloud-based data platforms to store and manage large volumes of data.\r\nCreated and maintained data warehouses, data marts, and dimensional data models.\r\nIntegrated data from multiple enterprise systems using REST APIs and database connectors.\r\nMonitored data pipelines, identified failures, and resolved performance and data processing issues.\r\nImplemented incremental data loading, partitioning, and optimization techniques to improve pipeline performance.\r\nWorked with Snowflake for data loading, transformation, query optimization, and warehouse management.\r\nImplemented data security, access controls, and governance practices to protect sensitive business information.\r\nUsed Git and Azure DevOps for source control, CI/CD, and deployment management.\r\nCollaborated with data analysts, data scientists, and business teams to understand data requirements.\r\nParticipated in Agile/Scrum ceremonies, technical discussions, code reviews, and production support.\r\nTechnical SkillsProgramming:Python, SQL, PySpark\r\nBig Data:Apache Spark, Hadoop, Databricks\r\nData Modeling:Star Schema, Snowflake Schema, Dimensional Modeling\r\nReporting:Power BI\r\nMethodologies:Agile, Scrum, SDLC\r\nQualificationsBachelor's degree in Computer Science, Information Technology, or a related field.\r\nExperience in data engineering, ETL development, and data pipeline implementation.\r\nStrong programming knowledge in Python, SQL, and PySpark.\r\nExperience working with cloud platforms and data warehousing technologies.\r\nUnderstanding of data modeling, database concepts, and data integration.\r\nStrong analytical, problem-solving, debugging, and communication skills.\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":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-05T02:02:41.539Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Roles and ResponsibilitiesDesigned, developed, and maintained scalable data pipelines to extract, transform, and load data from multiple sources.\r\nDeveloped ETL/ELT workflows using Python, SQL, PySpark, and Azure Data Factory.\r\nBuilt and optimized data processing solutions using Apache Spark and Databricks.\r\nWorked with structured and unstructured data from relational databases, APIs, flat files, and cloud storage.\r\nDesigned and implemented data integration solutions to support business intelligence and analytics requirements.\r\nDeveloped complex SQL queries, stored procedures, views, and functions to transform and process large datasets.\r\nImplemented data validation, data cleansing, data transformation, and data quality checks to ensure data accuracy.\r\nWorked with Azure Data Lake Storage and cloud-based data platforms to store and manage large volumes of data.\r\nCreated and maintained data warehouses, data marts, and dimensional data models.\r\nIntegrated data from multiple enterprise systems using REST APIs and database connectors.\r\nMonitored data pipelines, identified failures, and resolved performance and data processing issues.\r\nImplemented incremental data loading, partitioning, and optimization techniques to improve pipeline performance.\r\nWorked with Snowflake for data loading, transformation, query optimization, and warehouse management.\r\nImplemented data security, access controls, and governance practices to protect sensitive business information.\r\nUsed Git and Azure DevOps for source control, CI/CD, and deployment management.\r\nCollaborated with data analysts, data scientists, and business teams to understand data requirements.\r\nParticipated in Agile/Scrum ceremonies, technical discussions, code reviews, and production support.\r\nTechnical SkillsProgramming:Python, SQL, PySpark\r\nBig Data:Apache Spark, Hadoop, Databricks\r\nData Modeling:Star Schema, Snowflake Schema, Dimensional Modeling\r\nReporting:Power BI\r\nMethodologies:Agile, Scrum, SDLC\r\nQualificationsBachelor's degree in Computer Science, Information Technology, or a related field.\r\nExperience in data engineering, ETL development, and data pipeline implementation.\r\nStrong programming knowledge in Python, SQL, and PySpark.\r\nExperience working with cloud platforms and data warehousing technologies.\r\nUnderstanding of data modeling, database concepts, and data integration.\r\nStrong analytical, problem-solving, debugging, and communication skills.\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":"2026-11-05T02:02:41.539Z","dateModified":"2026-11-05T02:02:41.539Z","hiringOrganization":{"@type":"Organization","name":"Quantum Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"91b0cdb748b99e4ceb76402b"},"url":"https://jobsearcher.com/jobs/91b0cdb748b99e4ceb76402b"}}