{"schemaVersion":"jobsearcher.job.v1","id":"996e136753505c2e43f07251","url":"https://jobsearcher.com/jobs/996e136753505c2e43f07251","canonicalUrl":"https://jobsearcher.com/jobs/996e136753505c2e43f07251","title":"Data Engineer","description":"Position: Sr Spark Snowflake Engineer (Python)Location: RemoteContract RoleJob Description:We are seeking a highly experienced Senior Spark Snowflake Data Engineer with 10+ years of expertise in Data Engineering, Enterprise Data Warehousing, Cloud Data Platforms, API Development, and Data Modernization initiatives. The ideal candidate should have extensive experience in Enterprise Data Warehouse (EDW) migration programs, building scalable data pipelines, ingesting and transforming large datasets into Snowflake, and developing enterprise-grade APIs and data services.The candidate should possess strong hands-on expertise in Python, Apache Spark, Scala, Snowflake, REST APIs, and Cloud Data Engineering, along with a solid understanding of the Healthcare Payer domain. The role demands technical leadership, architectural participation, client interaction, mentoring, work allocation, and delivering highly scalable and reliable data solutions.Key Responsibilities:Python DevelopmentDevelop high-performance data processing applications using Python.Create reusable libraries, frameworks, and utilities.Build automation tools supporting migration and operational activities.Develop data validation and reconciliation utilities.Implement unit testing frameworks and code quality standards.Follow secure coding practices and engineering best practices.Required Experience10+ years of overall Data Engineering experience.Strong hands-on experience with Snowflake, Python, Apache Spark, and Scala.Experience in large-scale EDW migration programs.Experience building enterprise-grade APIs and microservices.Experience handling large healthcare datasets.Proven experience in solution design, stakeholder interaction, and technical leadership.Spark & Scala DevelopmentDevelop distributed processing solutions using Apache Spark.Build scalable transformations using:Spark SQLPySparkScalaOptimize Spark workloads for large-scale healthcare datasets.Troubleshoot complex processing and performance bottlenecks.Implement partitioning, caching, and workload optimization strategies.Support both batch and streaming data processing frameworks.Design, develop, and maintain scalable data ingestion, transformation, and processing pipelines.Build enterprise-grade ETL/ELT frameworks using Python, Spark, and Snowflake.Develop reusable data engineering components, utilities, and automation frameworks.Process structured, semi-structured, and unstructured datasets.Implement data cleansing, enrichment, validation, and standardization frameworks.Optimize data pipelines for performance, scalability, and reliability.Support batch and near real-time data processing requirements.Enterprise Data Warehouse (EDW) Migration & ModernizationParticipate in large-scale data migration initiatives from legacy EDW platforms to Snowflake.Analyze source systems, data models, ETL workflows, and reporting structures.Support migrations from:TeradataNetezzaOracleSQL ServerHadoopOther Enterprise Data WarehousesDevelop source-to-target mappings and transformation logic.Build migration validation and reconciliation frameworks.Ensure high-quality migration with minimal business disruption.Snowflake Design and implement scalable Snowflake-based data solutions.Develop ingestion frameworks into Snowflake.Build and optimize:Snowflake Data PipelinesEnterprise Data WarehousesData MartsData Sharing SolutionsSecure Data Access LayersWork with Snowflake capabilities including:Snow pipeStreams & TasksTime TravelClusteringSecure ViewsData SharingZero-Copy CloningOptimize Snowflake compute, storage, and query performance.API Development & IntegrationDesign, develop, and maintain RESTful APIs and microservices.Build APIs supporting:Data Access ServicesData Exchange SolutionsProvider IntegrationsClaims Data ServicesAnalytics ServicesImplement API security, authentication, and authorization controls.Manage API lifecycle and versioning strategies.Collaborate with application and integration teams for enterprise-wide data consumption.Healthcare Payer Domain ExpertiseDevelop and support solutions across:Membership & EnrollmentClaims ProcessingProvider ManagementCare ManagementRegulatory & Quality ReportingPharmacy & Clinical DataClient & Stakeholder ManagementInteract directly with client business and technology stakeholders.Participate in requirement gathering workshops, solution reviews, and design discussions.Clarify technical requirements and business needs.Provide project status updates and technical guidance.Support issue resolution and risk mitigation activities.Drive successful delivery of business-critical data initiatives.API & IntegrationREST APIsMicroservicesAPI SecurityAPI Lifecycle ManagementDatabasesTeradataNetezzaOracleSQL ServerCloud TechnologiesCloud Data PlatformsData Modernization SolutionsCloud Migration ProjectsStrong understanding of:Claims ProcessingMembership & EnrollmentProvider ManagementCare ManagementRegulatory ReportingPharmacy DataClinical Data Integration","company":"Vaiticka Solution","rawCompany":"vaiticka solution","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-11-13T09:16:12.040Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"Data Engineer","description":"Position: Sr Spark Snowflake Engineer (Python)Location: RemoteContract RoleJob Description:We are seeking a highly experienced Senior Spark Snowflake Data Engineer with 10+ years of expertise in Data Engineering, Enterprise Data Warehousing, Cloud Data Platforms, API Development, and Data Modernization initiatives. The ideal candidate should have extensive experience in Enterprise Data Warehouse (EDW) migration programs, building scalable data pipelines, ingesting and transforming large datasets into Snowflake, and developing enterprise-grade APIs and data services.The candidate should possess strong hands-on expertise in Python, Apache Spark, Scala, Snowflake, REST APIs, and Cloud Data Engineering, along with a solid understanding of the Healthcare Payer domain. The role demands technical leadership, architectural participation, client interaction, mentoring, work allocation, and delivering highly scalable and reliable data solutions.Key Responsibilities:Python DevelopmentDevelop high-performance data processing applications using Python.Create reusable libraries, frameworks, and utilities.Build automation tools supporting migration and operational activities.Develop data validation and reconciliation utilities.Implement unit testing frameworks and code quality standards.Follow secure coding practices and engineering best practices.Required Experience10+ years of overall Data Engineering experience.Strong hands-on experience with Snowflake, Python, Apache Spark, and Scala.Experience in large-scale EDW migration programs.Experience building enterprise-grade APIs and microservices.Experience handling large healthcare datasets.Proven experience in solution design, stakeholder interaction, and technical leadership.Spark & Scala DevelopmentDevelop distributed processing solutions using Apache Spark.Build scalable transformations using:Spark SQLPySparkScalaOptimize Spark workloads for large-scale healthcare datasets.Troubleshoot complex processing and performance bottlenecks.Implement partitioning, caching, and workload optimization strategies.Support both batch and streaming data processing frameworks.Design, develop, and maintain scalable data ingestion, transformation, and processing pipelines.Build enterprise-grade ETL/ELT frameworks using Python, Spark, and Snowflake.Develop reusable data engineering components, utilities, and automation frameworks.Process structured, semi-structured, and unstructured datasets.Implement data cleansing, enrichment, validation, and standardization frameworks.Optimize data pipelines for performance, scalability, and reliability.Support batch and near real-time data processing requirements.Enterprise Data Warehouse (EDW) Migration & ModernizationParticipate in large-scale data migration initiatives from legacy EDW platforms to Snowflake.Analyze source systems, data models, ETL workflows, and reporting structures.Support migrations from:TeradataNetezzaOracleSQL ServerHadoopOther Enterprise Data WarehousesDevelop source-to-target mappings and transformation logic.Build migration validation and reconciliation frameworks.Ensure high-quality migration with minimal business disruption.Snowflake Design and implement scalable Snowflake-based data solutions.Develop ingestion frameworks into Snowflake.Build and optimize:Snowflake Data PipelinesEnterprise Data WarehousesData MartsData Sharing SolutionsSecure Data Access LayersWork with Snowflake capabilities including:Snow pipeStreams & TasksTime TravelClusteringSecure ViewsData SharingZero-Copy CloningOptimize Snowflake compute, storage, and query performance.API Development & IntegrationDesign, develop, and maintain RESTful APIs and microservices.Build APIs supporting:Data Access ServicesData Exchange SolutionsProvider IntegrationsClaims Data ServicesAnalytics ServicesImplement API security, authentication, and authorization controls.Manage API lifecycle and versioning strategies.Collaborate with application and integration teams for enterprise-wide data consumption.Healthcare Payer Domain ExpertiseDevelop and support solutions across:Membership & EnrollmentClaims ProcessingProvider ManagementCare ManagementRegulatory & Quality ReportingPharmacy & Clinical DataClient & Stakeholder ManagementInteract directly with client business and technology stakeholders.Participate in requirement gathering workshops, solution reviews, and design discussions.Clarify technical requirements and business needs.Provide project status updates and technical guidance.Support issue resolution and risk mitigation activities.Drive successful delivery of business-critical data initiatives.API & IntegrationREST APIsMicroservicesAPI SecurityAPI Lifecycle ManagementDatabasesTeradataNetezzaOracleSQL ServerCloud TechnologiesCloud Data PlatformsData Modernization SolutionsCloud Migration ProjectsStrong understanding of:Claims ProcessingMembership & EnrollmentProvider ManagementCare ManagementRegulatory ReportingPharmacy DataClinical Data Integration","datePosted":"2026-11-13T09:16:12.040Z","dateModified":"2026-11-13T09:16:12.040Z","hiringOrganization":{"@type":"Organization","name":"Vaiticka Solution","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"996e136753505c2e43f07251"},"url":"https://jobsearcher.com/jobs/996e136753505c2e43f07251"}}