{"schemaVersion":"jobsearcher.job.v1","id":"c91a054f49f90241c842abe0","url":"https://jobsearcher.com/jobs/c91a054f49f90241c842abe0","canonicalUrl":"https://jobsearcher.com/jobs/c91a054f49f90241c842abe0","title":"Data Engineer","description":"Position Summary The Data Engineer designs, builds, and maintains scalable data solutions that support operational reporting, analytics, and enterprise decision-making. This role is responsible for developing reliable data pipelines, integrating data from internal and third-party systems, and delivering trusted, well-structured data for business use across the organization. The position combines hands-on engineering, data architecture, and operational support. The Data Engineer will design ETL/ELT workflows, manage lakehouse, warehouse, and database assets, optimize performance, enforce data quality standards, and support secure, governed access to enterprise data. This role partners closely with application owners, analysts, developers, and IT leadership to translate business needs into sustainable technical solutions. A successful candidate will bring strong SQL and data modeling skills, experience with cloud and hybrid data platforms, and practical knowledge of orchestration, automation, and monitoring. Experience with Microsoft Fabric, relational databases, APIs, file-based ingestion, and modern data engineering practices is highly valued. This position requires the ability to manage multiple priorities, contribute to project delivery and operational support, document solutions clearly, and participate in maintenance or incident response activities when needed. The ideal candidate is collaborative, detail-oriented, and committed to building resilient, efficient, and secure data solutions.\r\nEssential Duties And Responsibilities Design, build, and maintain scalable data pipelines and data integration processes that move data reliably from source systems into curated analytical and operational data stores.\r\nDevelop ETL/ELT workflows for structured, semi-structured, and file-based data using appropriate orchestration, transformation, and scheduling methods.\r\nImplement and support Microsoft Fabric solutions, including Data Factory pipelines, Lakehouse, Warehouse, Dataflow Gen2, notebooks, and related services for ingestion, transformation, and delivery of trusted data.\r\nDesign and maintain data models, schemas, and data structures that support reporting, analytics, and downstream application needs.\r\nIntegrate data from enterprise applications, databases, APIs, flat files, and third-party platforms while ensuring data accuracy, completeness, and consistency.\r\nOptimize data queries, transformation logic, storage design, and pipeline performance to improve reliability, scalability, and cost efficiency.\r\nImplement monitoring, alerting, logging, and data quality checks to detect failures, anomalies, and processing issues before they affect business operations.\r\nSupport data governance, security, and compliance requirements by applying access controls, audit practices, retention standards, and secure data handling procedures.\r\nCollaborate with business stakeholders, analysts, developers, and IT team members to gather requirements, define technical approaches, and deliver high-value data solutions.\r\nCreate and maintain technical documentation for pipelines, source mappings, transformations, data definitions, standards, and operational procedures.\r\nParticipate in troubleshooting, root cause analysis, and continuous improvement efforts related to data platform health, performance, and service reliability.\r\nContribute to standards for version control, testing, deployment, and change management for data assets and engineering workflows.\r\nPerform additional duties as assigned in support of evolving business priorities and enterprise data initiatives.\r\nEffectiveness and Work Management To perform successfully in this role, the following skills and attributes are essential:\r\nAnalytical and Problem Solving Demonstrate the ability to analyze data performance metrics, system behavior, and business requirements to make informed technical decisions.\r\nDiagnose and resolve data issues using sound logic and reasoning, including query inefficiencies, data integrity concerns, and platform-related bottlenecks.\r\nAnticipate potential risks and take proactive steps to improve resilience, scalability, and operational continuity.\r\nInitiative and Adaptability Take initiative when operational challenges or opportunities for improvement arise, acting decisively while protecting data availability and integrity.\r\nAdapt to changing business requirements, project priorities, and emerging database technologies.\r\nEfficiently work through formal and informal channels to remove roadblocks and support the timely delivery of database-related solutions.\r\nCollaboration and Communication Partner effectively with application owners, developers, analysts, and infrastructure teams to achieve shared business and technical goals.\r\nObtain cooperation and support from internal and external stakeholders when planning, implementing, or troubleshooting database solutions.\r\nMaintain clear and professional communication with IT Leadership and peers to ensure alignment, transparency, and effective issue resolution.\r\nContinuous Improvement and Professionalism Seek and accept feedback for personal and professional growth.\r\nReflect on experiences to identify lessons learned and apply them to future situations.\r\nTake ownership of development and demonstrate integrity in conduct, appearance, and respectful interactions.\r\nBuild trust and credibility through consistent performance and respectful interactions.\r\nExecution and Accountability Complete data projects and assignments on time and in alignment with operational priorities and service expectations.\r\nMaintain accurate, up-to-date documentation, including data architecture, configurations, standards, backup procedures, and operational runbooks.\r\nProvide practical alternatives and recommendations when technical constraints arise to ensure continuity and business support.\r\nTechnical Skills Strong command of data for querying, transformation, performance tuning, and database object development.\r\nWorking knowledge of Python or similar scripting languages for data processing, automation, and integration tasks.\r\nExperience with data modeling concepts, including normalization, dimensional modeling, star schemas, and slowly changing dimensions.\r\nHands-on experience with Microsoft Fabric, relational databases, cloud data services, and modern data integration patterns.\r\nUnderstanding of orchestration, scheduling, CI/CD concepts, monitoring, and data quality validation in production environments.\r\nKnowledge of secure data handling, access control, governance, backup and recovery, and operational support best practices.\r\nCommunication Maintain clear, consistent, and professional communication with IT Leadership, team members, vendors, and business stakeholders to support department and company objectives.\r\nCommunicate effectively across all levels of the organization, translating database concepts into practical business language when needed.\r\nDemonstrate a strong understanding of the Corporate vision, objectives, and core values.\r\nExpress ideas, risks, recommendations, and technical information clearly and concisely, both verbally and in writing.\r\nActively listen to stakeholders and accurately interpret operational needs, project requirements, and support issues.\r\nProvide customer-focused service, ensuring a positive and professional experience from initial request through resolution.\r\nQualifications Minimum Requirements and Qualifications\r\nEducation and Experience\r\nBachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field; equivalent practical experience may be considered.\r\nMinimum of 5 years of professional experience in data engineering, ETL/ELT development, data integration, database development, or a related enterprise data role, including experience building production-grade data pipelines and supporting business-critical data platforms.\r\nCertifications\r\nRelevant Microsoft, Azure, Fabric, data, or cloud platform certifications are preferred.\r\nCertifications related to data engineering, security, analytics, or platform administration are a plus.\r\nCore Competencies\r\nAbility to design and support scalable, maintainable data pipelines and integration workflows across multiple systems.\r\nStrong understanding of data quality, lineage, governance, and secure data management practices.\r\nProven ability to analyze requirements, solve complex technical problems, and communicate clearly with technical and non-technical stakeholders.\r\nDemonstrated ownership, attention to detail, documentation discipline, and commitment to operational reliability.\r\nTechnical Expertise\r\nCandidates Must Demonstrate In-depth Knowledge And Hands-on Experience With\r\nData Platforms : Microsoft Fabric, SQL Server, PostgreSQL, MySQL, cloud data services, lakehouse and warehouse platforms, or equivalent enterprise technologies\r\nData Engineering : ETL/ELT design, pipeline orchestration, ingestion frameworks, transformation logic, data quality controls, and batch or scheduled processing\r\nDevelopment : SQL, Python, stored procedures, views, functions, scripting, API integration, and automation\r\nData Modeling and Storage : Relational design, dimensional modeling, partitioning, indexing, schema design, and storage optimization\r\nOperations and Reliability : Monitoring, logging, alerting, troubleshooting, backup and recovery, disaster recovery, and performance tuning\r\nSecurity and Governance : Role-based access, auditing, encryption awareness, retention practices, and support for compliance requirements\r\nPreferred Tools And Knowledge\r\nExperience with Microsoft Fabric components such as Data Factory pipelines, Lakehouse, Warehouse, Dataflow Gen2, notebooks, and semantic models.\r\nFamiliarity with medallion architecture, Delta-based storage patterns, dimensional models, and modern analytics delivery practices.\r\nExperience integrating data from REST APIs, flat files, ERP or line-of-business applications, SaaS platforms, and external data providers.\r\nKnowledge of source control, release management, and CI/CD practices for data engineering assets and platform changes.\r\nExposure to Spark, data warehouse optimization, business intelligence platforms, and enterprise data governance tools is beneficial.\r\nBenefits Health & Wellness\r\nMedical, Dental & Vision Insurance\r\nMonthly Wellness Stipend\r\nEmployee Assistance Program (EAP)\r\nEmployee Philanthropic Giving Program\r\nDisability Insurance (plans vary by location)\r\nFinancial Benefits\r\n401(k) Program + Company Match\r\nProfit Sharing Program (via 401(k)\r\nHoliday Bonus\r\nPerformance Incentive Bonus Program\r\nTuition Reimbursement\r\n529 College-Savings Plan\r\nCompany-Paid Basic Life & AD&D Insurance\r\nTime Off & Flexibility\r\nPaid Vacation\r\nPaid Sick Leave\r\n15 Paid Company Holidays\r\n2 Floating Holidays\r\nBirthday Off\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Woodland","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:53:08.190Z","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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Position Summary The Data Engineer designs, builds, and maintains scalable data solutions that support operational reporting, analytics, and enterprise decision-making. This role is responsible for developing reliable data pipelines, integrating data from internal and third-party systems, and delivering trusted, well-structured data for business use across the organization. The position combines hands-on engineering, data architecture, and operational support. The Data Engineer will design ETL/ELT workflows, manage lakehouse, warehouse, and database assets, optimize performance, enforce data quality standards, and support secure, governed access to enterprise data. This role partners closely with application owners, analysts, developers, and IT leadership to translate business needs into sustainable technical solutions. A successful candidate will bring strong SQL and data modeling skills, experience with cloud and hybrid data platforms, and practical knowledge of orchestration, automation, and monitoring. Experience with Microsoft Fabric, relational databases, APIs, file-based ingestion, and modern data engineering practices is highly valued. This position requires the ability to manage multiple priorities, contribute to project delivery and operational support, document solutions clearly, and participate in maintenance or incident response activities when needed. The ideal candidate is collaborative, detail-oriented, and committed to building resilient, efficient, and secure data solutions.\r\nEssential Duties And Responsibilities Design, build, and maintain scalable data pipelines and data integration processes that move data reliably from source systems into curated analytical and operational data stores.\r\nDevelop ETL/ELT workflows for structured, semi-structured, and file-based data using appropriate orchestration, transformation, and scheduling methods.\r\nImplement and support Microsoft Fabric solutions, including Data Factory pipelines, Lakehouse, Warehouse, Dataflow Gen2, notebooks, and related services for ingestion, transformation, and delivery of trusted data.\r\nDesign and maintain data models, schemas, and data structures that support reporting, analytics, and downstream application needs.\r\nIntegrate data from enterprise applications, databases, APIs, flat files, and third-party platforms while ensuring data accuracy, completeness, and consistency.\r\nOptimize data queries, transformation logic, storage design, and pipeline performance to improve reliability, scalability, and cost efficiency.\r\nImplement monitoring, alerting, logging, and data quality checks to detect failures, anomalies, and processing issues before they affect business operations.\r\nSupport data governance, security, and compliance requirements by applying access controls, audit practices, retention standards, and secure data handling procedures.\r\nCollaborate with business stakeholders, analysts, developers, and IT team members to gather requirements, define technical approaches, and deliver high-value data solutions.\r\nCreate and maintain technical documentation for pipelines, source mappings, transformations, data definitions, standards, and operational procedures.\r\nParticipate in troubleshooting, root cause analysis, and continuous improvement efforts related to data platform health, performance, and service reliability.\r\nContribute to standards for version control, testing, deployment, and change management for data assets and engineering workflows.\r\nPerform additional duties as assigned in support of evolving business priorities and enterprise data initiatives.\r\nEffectiveness and Work Management To perform successfully in this role, the following skills and attributes are essential:\r\nAnalytical and Problem Solving Demonstrate the ability to analyze data performance metrics, system behavior, and business requirements to make informed technical decisions.\r\nDiagnose and resolve data issues using sound logic and reasoning, including query inefficiencies, data integrity concerns, and platform-related bottlenecks.\r\nAnticipate potential risks and take proactive steps to improve resilience, scalability, and operational continuity.\r\nInitiative and Adaptability Take initiative when operational challenges or opportunities for improvement arise, acting decisively while protecting data availability and integrity.\r\nAdapt to changing business requirements, project priorities, and emerging database technologies.\r\nEfficiently work through formal and informal channels to remove roadblocks and support the timely delivery of database-related solutions.\r\nCollaboration and Communication Partner effectively with application owners, developers, analysts, and infrastructure teams to achieve shared business and technical goals.\r\nObtain cooperation and support from internal and external stakeholders when planning, implementing, or troubleshooting database solutions.\r\nMaintain clear and professional communication with IT Leadership and peers to ensure alignment, transparency, and effective issue resolution.\r\nContinuous Improvement and Professionalism Seek and accept feedback for personal and professional growth.\r\nReflect on experiences to identify lessons learned and apply them to future situations.\r\nTake ownership of development and demonstrate integrity in conduct, appearance, and respectful interactions.\r\nBuild trust and credibility through consistent performance and respectful interactions.\r\nExecution and Accountability Complete data projects and assignments on time and in alignment with operational priorities and service expectations.\r\nMaintain accurate, up-to-date documentation, including data architecture, configurations, standards, backup procedures, and operational runbooks.\r\nProvide practical alternatives and recommendations when technical constraints arise to ensure continuity and business support.\r\nTechnical Skills Strong command of data for querying, transformation, performance tuning, and database object development.\r\nWorking knowledge of Python or similar scripting languages for data processing, automation, and integration tasks.\r\nExperience with data modeling concepts, including normalization, dimensional modeling, star schemas, and slowly changing dimensions.\r\nHands-on experience with Microsoft Fabric, relational databases, cloud data services, and modern data integration patterns.\r\nUnderstanding of orchestration, scheduling, CI/CD concepts, monitoring, and data quality validation in production environments.\r\nKnowledge of secure data handling, access control, governance, backup and recovery, and operational support best practices.\r\nCommunication Maintain clear, consistent, and professional communication with IT Leadership, team members, vendors, and business stakeholders to support department and company objectives.\r\nCommunicate effectively across all levels of the organization, translating database concepts into practical business language when needed.\r\nDemonstrate a strong understanding of the Corporate vision, objectives, and core values.\r\nExpress ideas, risks, recommendations, and technical information clearly and concisely, both verbally and in writing.\r\nActively listen to stakeholders and accurately interpret operational needs, project requirements, and support issues.\r\nProvide customer-focused service, ensuring a positive and professional experience from initial request through resolution.\r\nQualifications Minimum Requirements and Qualifications\r\nEducation and Experience\r\nBachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field; equivalent practical experience may be considered.\r\nMinimum of 5 years of professional experience in data engineering, ETL/ELT development, data integration, database development, or a related enterprise data role, including experience building production-grade data pipelines and supporting business-critical data platforms.\r\nCertifications\r\nRelevant Microsoft, Azure, Fabric, data, or cloud platform certifications are preferred.\r\nCertifications related to data engineering, security, analytics, or platform administration are a plus.\r\nCore Competencies\r\nAbility to design and support scalable, maintainable data pipelines and integration workflows across multiple systems.\r\nStrong understanding of data quality, lineage, governance, and secure data management practices.\r\nProven ability to analyze requirements, solve complex technical problems, and communicate clearly with technical and non-technical stakeholders.\r\nDemonstrated ownership, attention to detail, documentation discipline, and commitment to operational reliability.\r\nTechnical Expertise\r\nCandidates Must Demonstrate In-depth Knowledge And Hands-on Experience With\r\nData Platforms : Microsoft Fabric, SQL Server, PostgreSQL, MySQL, cloud data services, lakehouse and warehouse platforms, or equivalent enterprise technologies\r\nData Engineering : ETL/ELT design, pipeline orchestration, ingestion frameworks, transformation logic, data quality controls, and batch or scheduled processing\r\nDevelopment : SQL, Python, stored procedures, views, functions, scripting, API integration, and automation\r\nData Modeling and Storage : Relational design, dimensional modeling, partitioning, indexing, schema design, and storage optimization\r\nOperations and Reliability : Monitoring, logging, alerting, troubleshooting, backup and recovery, disaster recovery, and performance tuning\r\nSecurity and Governance : Role-based access, auditing, encryption awareness, retention practices, and support for compliance requirements\r\nPreferred Tools And Knowledge\r\nExperience with Microsoft Fabric components such as Data Factory pipelines, Lakehouse, Warehouse, Dataflow Gen2, notebooks, and semantic models.\r\nFamiliarity with medallion architecture, Delta-based storage patterns, dimensional models, and modern analytics delivery practices.\r\nExperience integrating data from REST APIs, flat files, ERP or line-of-business applications, SaaS platforms, and external data providers.\r\nKnowledge of source control, release management, and CI/CD practices for data engineering assets and platform changes.\r\nExposure to Spark, data warehouse optimization, business intelligence platforms, and enterprise data governance tools is beneficial.\r\nBenefits Health & Wellness\r\nMedical, Dental & Vision Insurance\r\nMonthly Wellness Stipend\r\nEmployee Assistance Program (EAP)\r\nEmployee Philanthropic Giving Program\r\nDisability Insurance (plans vary by location)\r\nFinancial Benefits\r\n401(k) Program + Company Match\r\nProfit Sharing Program (via 401(k)\r\nHoliday Bonus\r\nPerformance Incentive Bonus Program\r\nTuition Reimbursement\r\n529 College-Savings Plan\r\nCompany-Paid Basic Life & AD&D Insurance\r\nTime Off & Flexibility\r\nPaid Vacation\r\nPaid Sick Leave\r\n15 Paid Company Holidays\r\n2 Floating Holidays\r\nBirthday Off\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:53:08.190Z","dateModified":"2026-08-08T01:53:08.190Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Woodland","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c91a054f49f90241c842abe0"},"url":"https://jobsearcher.com/jobs/c91a054f49f90241c842abe0"}}