{"schemaVersion":"jobsearcher.job.v1","id":"bcde9c67e1ddfe008ae088a1","url":"https://jobsearcher.com/jobs/bcde9c67e1ddfe008ae088a1","canonicalUrl":"https://jobsearcher.com/jobs/bcde9c67e1ddfe008ae088a1","title":"senior Data Engineer","description":"ABOUT THIS POSITION\n\nWaystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud Platform (GCP).\n\nThis is a senior individual contributor role focused on designing, building, and optimizing scalable data solutions that enable analytics, reporting, governance, and AI initiatives across the enterprise. The ideal candidate is a hands-on engineer with deep technical expertise in cloud data platforms, data modeling, ELT development, and modern engineering practices.\n\nYou will work across the full data lifecycle, from data ingestion and transformation to orchestration, quality, observability, and governance, helping deliver trusted and scalable data products that support business decision-making.\n\nWHAT YOU'LL DO\n\nData Pipeline Development & Optimization\n\nDesign, build, and maintain scalable ELT pipelines into BigQuery using Fivetran, APIs, Python, and cloud-native services\nDevelop and optimize bronze, silver, and gold data layers following Medallion Architecture principles\nCreate and maintain reusable dbt models that support enterprise reporting, analytics, and self-service use cases\nDesign and implement scalable ingestion patterns for structured and semi-structured data\nTroubleshoot and resolve complex data pipeline, transformation, and performance issues\nImprove pipeline reliability, performance, scalability, and maintainability\n\nData Modeling & Analytics Enablement\n\nDesign and implement scalable data models supporting business intelligence, analytics, and operational reporting\nPartner with business analysts, product owners, and stakeholders to understand and translate requirements into technical solutions\nDevelop reusable business-focused datasets and metrics aligned with enterprise standards\nSupport semantic modeling and reporting initiatives across business domains\nContribute to the standardization of enterprise metrics and reporting assets\n\nData Quality, Observability & Reliability\n\nImplement automated data validation, testing, and data quality checks\nDevelop monitoring, alerting, and observability capabilities across the data platform\nInvestigate and resolve data anomalies, processing issues, and performance bottlenecks\nSupport operational excellence through logging, incident analysis, and root cause investigations\nEnsure data consistency, accuracy, and reliability across ingestion and transformation processes\n\nPlatform Engineering & Automation\n\nDevelop and maintain orchestration workflows using Cloud Composer (Managed Airflow)\nContribute to CI/CD pipelines using GitHub and modern deployment practices\nSupport Infrastructure-as-Code initiatives using Terraform and platform automation tools\nImprove engineering efficiency through automation, reusable components, and standard development patterns\nParticipate in platform optimization and modernization initiatives\n\nData Governance & Security\n\nSupport data classification, lineage, metadata management, and governance initiatives\nImplement secure access controls and data protection practices aligned with enterprise standards\nPartner with Data Governance teams to improve data discoverability and trust\nEnsure compliance with regulatory, privacy, and security requirements\nContribute to documentation and operational standards for enterprise data assets\n\nCollaboration & Continuous Improvement\n\nCollaborate with engineers, architects, analysts, and business stakeholders across multiple domains\nParticipate in technical design reviews and engineering discussions\nPerform peer code reviews and support engineering quality standards\nContribute to documentation, knowledge sharing, and reusable engineering practices\nEvaluate new technologies and recommend platform improvements where appropriate\n\nWHAT YOU'LL NEED\n\nBachelor’s degree in computer science, Information Systems, Data Engineering, or a related field\n5+ years of experience in Data Engineering or a related technical discipline\nStrong hands-on experience with Google Cloud Platform (GCP)\nAdvanced expertise in BigQuery\nStrong experience with dbt and modern ELT development practices\nAdvanced SQL development and query optimization skills\nStrong Python programming experience\nExperience building scalable data pipelines and transformation frameworks\nExperience working with APIs and data integration patterns\nExperience with workflow orchestration tools such as Airflow or Cloud Composer\nExperience with GitHub, source control, and CI/CD development practices\nStrong understanding of dimensional modeling and analytics engineering concepts\nStrong troubleshooting, problem-solving, and analytical skills\nExcellent communication and collaboration skills\n\nPreferred Qualifications\n\nExperience supporting enterprise-scale data modernization programs\nExperience migrating workloads from Snowflake, Azure, SQL Server, Teradata, or other platforms to BigQuery\nExperience with Terraform and Infrastructure-as-Code practices\nFamiliarity with Google Dataplex, Knowledge Catalog, or metadata management solutions\nExperience with Cloud Run, Cloud Functions, or serverless technologies\nExperience implementing data quality, testing, and observability frameworks\nExperience supporting healthcare, payments, or regulated industry environments\nFamiliarity with Data Mesh and domain-driven data ownership concepts\nExperience supporting AI, machine learning, or advanced analytics initiatives\n\nCompetencies Overview\n\nCloud Data Engineering (GCP / BigQuery) — Advanced\nELT Pipeline Development — Advanced\nData Modeling & Analytics Engineering — Advanced\nSQL & Query Optimization — Advanced\nPython Development — Advanced\nData Quality & Observability — Advanced\nData Governance & Security — Strong\nProblem Solving & Troubleshooting — Advanced\nCollaboration & Stakeholder Partnership — Strong\nDelivery Execution & Accountability — Strong\n\nSkills Overview\n\nCore Technologies\n\nGoogle Cloud Platform (GCP)\nBigQuery\ndbt / dbt Cloud\nFivetran\nPython\nSQL\nGitHub\nCloud Composer (Managed Airflow)\nCloud Functions\nREST APIs and Data Integration Frameworks\nCI/CD Pipelines\n\nPreferred Technologies\n\nTerraform\nDataplex\nKnowledge Catalog\nCloud Run\nSnowflake\nAzure Data Factory (ADF)\nData Quality & Observability Platforms\nMetadata Management Solutions\n\nABOUT WAYSTAR\n\nThrough a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.\n\nWaystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.\n\nWaystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.\n\nWAYSTAR PERKS\n\nCompetitive total rewards (base salary + bonus, if applicable)\nCustomizable benefits package (3 medical plans with Health Saving Account company match)\nWe offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays\nPaid parental leave (including maternity + paternity leave)\nEducation assistance opportunities and free LinkedIn Learning access\nFree mental health and family planning programs, including adoption assistance and fertility support\n401(K) program with company match\nPet insurance\nEmployee resource groups\n\nWaystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.\n\nThis applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.","company":"Waystar","rawCompany":"waystar","city":"Duluth","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-08-19T12:53:17.749Z","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":"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":"senior Data Engineer","description":"ABOUT THIS POSITION\n\nWaystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud Platform (GCP).\n\nThis is a senior individual contributor role focused on designing, building, and optimizing scalable data solutions that enable analytics, reporting, governance, and AI initiatives across the enterprise. The ideal candidate is a hands-on engineer with deep technical expertise in cloud data platforms, data modeling, ELT development, and modern engineering practices.\n\nYou will work across the full data lifecycle, from data ingestion and transformation to orchestration, quality, observability, and governance, helping deliver trusted and scalable data products that support business decision-making.\n\nWHAT YOU'LL DO\n\nData Pipeline Development & Optimization\n\nDesign, build, and maintain scalable ELT pipelines into BigQuery using Fivetran, APIs, Python, and cloud-native services\nDevelop and optimize bronze, silver, and gold data layers following Medallion Architecture principles\nCreate and maintain reusable dbt models that support enterprise reporting, analytics, and self-service use cases\nDesign and implement scalable ingestion patterns for structured and semi-structured data\nTroubleshoot and resolve complex data pipeline, transformation, and performance issues\nImprove pipeline reliability, performance, scalability, and maintainability\n\nData Modeling & Analytics Enablement\n\nDesign and implement scalable data models supporting business intelligence, analytics, and operational reporting\nPartner with business analysts, product owners, and stakeholders to understand and translate requirements into technical solutions\nDevelop reusable business-focused datasets and metrics aligned with enterprise standards\nSupport semantic modeling and reporting initiatives across business domains\nContribute to the standardization of enterprise metrics and reporting assets\n\nData Quality, Observability & Reliability\n\nImplement automated data validation, testing, and data quality checks\nDevelop monitoring, alerting, and observability capabilities across the data platform\nInvestigate and resolve data anomalies, processing issues, and performance bottlenecks\nSupport operational excellence through logging, incident analysis, and root cause investigations\nEnsure data consistency, accuracy, and reliability across ingestion and transformation processes\n\nPlatform Engineering & Automation\n\nDevelop and maintain orchestration workflows using Cloud Composer (Managed Airflow)\nContribute to CI/CD pipelines using GitHub and modern deployment practices\nSupport Infrastructure-as-Code initiatives using Terraform and platform automation tools\nImprove engineering efficiency through automation, reusable components, and standard development patterns\nParticipate in platform optimization and modernization initiatives\n\nData Governance & Security\n\nSupport data classification, lineage, metadata management, and governance initiatives\nImplement secure access controls and data protection practices aligned with enterprise standards\nPartner with Data Governance teams to improve data discoverability and trust\nEnsure compliance with regulatory, privacy, and security requirements\nContribute to documentation and operational standards for enterprise data assets\n\nCollaboration & Continuous Improvement\n\nCollaborate with engineers, architects, analysts, and business stakeholders across multiple domains\nParticipate in technical design reviews and engineering discussions\nPerform peer code reviews and support engineering quality standards\nContribute to documentation, knowledge sharing, and reusable engineering practices\nEvaluate new technologies and recommend platform improvements where appropriate\n\nWHAT YOU'LL NEED\n\nBachelor’s degree in computer science, Information Systems, Data Engineering, or a related field\n5+ years of experience in Data Engineering or a related technical discipline\nStrong hands-on experience with Google Cloud Platform (GCP)\nAdvanced expertise in BigQuery\nStrong experience with dbt and modern ELT development practices\nAdvanced SQL development and query optimization skills\nStrong Python programming experience\nExperience building scalable data pipelines and transformation frameworks\nExperience working with APIs and data integration patterns\nExperience with workflow orchestration tools such as Airflow or Cloud Composer\nExperience with GitHub, source control, and CI/CD development practices\nStrong understanding of dimensional modeling and analytics engineering concepts\nStrong troubleshooting, problem-solving, and analytical skills\nExcellent communication and collaboration skills\n\nPreferred Qualifications\n\nExperience supporting enterprise-scale data modernization programs\nExperience migrating workloads from Snowflake, Azure, SQL Server, Teradata, or other platforms to BigQuery\nExperience with Terraform and Infrastructure-as-Code practices\nFamiliarity with Google Dataplex, Knowledge Catalog, or metadata management solutions\nExperience with Cloud Run, Cloud Functions, or serverless technologies\nExperience implementing data quality, testing, and observability frameworks\nExperience supporting healthcare, payments, or regulated industry environments\nFamiliarity with Data Mesh and domain-driven data ownership concepts\nExperience supporting AI, machine learning, or advanced analytics initiatives\n\nCompetencies Overview\n\nCloud Data Engineering (GCP / BigQuery) — Advanced\nELT Pipeline Development — Advanced\nData Modeling & Analytics Engineering — Advanced\nSQL & Query Optimization — Advanced\nPython Development — Advanced\nData Quality & Observability — Advanced\nData Governance & Security — Strong\nProblem Solving & Troubleshooting — Advanced\nCollaboration & Stakeholder Partnership — Strong\nDelivery Execution & Accountability — Strong\n\nSkills Overview\n\nCore Technologies\n\nGoogle Cloud Platform (GCP)\nBigQuery\ndbt / dbt Cloud\nFivetran\nPython\nSQL\nGitHub\nCloud Composer (Managed Airflow)\nCloud Functions\nREST APIs and Data Integration Frameworks\nCI/CD Pipelines\n\nPreferred Technologies\n\nTerraform\nDataplex\nKnowledge Catalog\nCloud Run\nSnowflake\nAzure Data Factory (ADF)\nData Quality & Observability Platforms\nMetadata Management Solutions\n\nABOUT WAYSTAR\n\nThrough a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.\n\nWaystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.\n\nWaystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.\n\nWAYSTAR PERKS\n\nCompetitive total rewards (base salary + bonus, if applicable)\nCustomizable benefits package (3 medical plans with Health Saving Account company match)\nWe offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays\nPaid parental leave (including maternity + paternity leave)\nEducation assistance opportunities and free LinkedIn Learning access\nFree mental health and family planning programs, including adoption assistance and fertility support\n401(K) program with company match\nPet insurance\nEmployee resource groups\n\nWaystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.\n\nThis applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.","datePosted":"2026-08-19T12:53:17.749Z","dateModified":"2026-08-19T12:53:17.749Z","hiringOrganization":{"@type":"Organization","name":"Waystar","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Duluth","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bcde9c67e1ddfe008ae088a1"},"url":"https://jobsearcher.com/jobs/bcde9c67e1ddfe008ae088a1"}}