{"schemaVersion":"jobsearcher.job.v1","id":"55d3f8d5a1f16fa185b62a2e","url":"https://jobsearcher.com/jobs/55d3f8d5a1f16fa185b62a2e","canonicalUrl":"https://jobsearcher.com/jobs/55d3f8d5a1f16fa185b62a2e","title":"Staff Data Engineer","description":"Role Overview\nThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering standards, drives architectural decisions, and mentors engineers while partnering closely with analytics, product, and business leaders to enable reliable, high-impact data solutions.\nKey Responsibilities\nArchitect and own scalable, resilient data pipelines and platforms\nLead design decisions for data ingestion, transformation, and storage\nEstablish best practices for data modeling, testing, observability, and reliability\nDrive data quality, lineage, and governance frameworks\nServe as a technical mentor for junior and mid-level data engineers\nPartner with analytics, product, and business stakeholders to translate needs into data solutions\nEvaluate and implement modern data tools and cloud technologies\nLead incident response, root cause analysis, and long-term remediation\nContribute to roadmap planning and long-term data strategy\nQualifications\nBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)\n7+ years of experience in data engineering or related roles\nAdvanced SQL and strong proficiency in Python (or similar language)\nDeep experience with data warehousing and data modeling\nProven experience designing production-grade ETL/ELT pipelines\nStrong understanding of distributed systems and data architecture\nPreferred Experience\nCloud data platforms (AWS, Azure, or GCP)\nOrchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)\nData observability, monitoring, and reliability tooling\nExperience supporting analytics, BI, ML, or product data use cases\nPrior experience influencing technical strategy without direct authority","company":"Continuus Technologies","rawCompany":"continuus technologies","city":"Germantown","state":"WI","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:56:28.293Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","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":"Staff Data Engineer","description":"Role Overview\nThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering standards, drives architectural decisions, and mentors engineers while partnering closely with analytics, product, and business leaders to enable reliable, high-impact data solutions.\nKey Responsibilities\nArchitect and own scalable, resilient data pipelines and platforms\nLead design decisions for data ingestion, transformation, and storage\nEstablish best practices for data modeling, testing, observability, and reliability\nDrive data quality, lineage, and governance frameworks\nServe as a technical mentor for junior and mid-level data engineers\nPartner with analytics, product, and business stakeholders to translate needs into data solutions\nEvaluate and implement modern data tools and cloud technologies\nLead incident response, root cause analysis, and long-term remediation\nContribute to roadmap planning and long-term data strategy\nQualifications\nBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)\n7+ years of experience in data engineering or related roles\nAdvanced SQL and strong proficiency in Python (or similar language)\nDeep experience with data warehousing and data modeling\nProven experience designing production-grade ETL/ELT pipelines\nStrong understanding of distributed systems and data architecture\nPreferred Experience\nCloud data platforms (AWS, Azure, or GCP)\nOrchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)\nData observability, monitoring, and reliability tooling\nExperience supporting analytics, BI, ML, or product data use cases\nPrior experience influencing technical strategy without direct authority","datePosted":"2026-04-14T10:56:28.293Z","dateModified":"2026-04-14T10:56:28.293Z","hiringOrganization":{"@type":"Organization","name":"Continuus Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Germantown","addressRegion":"WI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"55d3f8d5a1f16fa185b62a2e"},"url":"https://jobsearcher.com/jobs/55d3f8d5a1f16fa185b62a2e"}}