{"schemaVersion":"jobsearcher.job.v1","id":"10705094c503152e67e40cc3","url":"https://jobsearcher.com/jobs/10705094c503152e67e40cc3","canonicalUrl":"https://jobsearcher.com/jobs/10705094c503152e67e40cc3","title":"Data Engineer","description":"Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan.\nWe are looking for an experienced Data Engineer for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA.\nWe offer 100% remote, full-time work\n\nResponsibilities:\nLead discovery and requirements-gathering sessions with business stakeholders; document source schemas and define analytics-ready data model specifications;\nBuild, optimize and maintain end-to-end data pipelines ETL/ELT frameworks with reusable dbt macros, incremental models, and snapshot patterns to ensure fault-tolerant, scalable data delivery;\nDesign and implement data models following medallion architecture patterns (bronze/silver/gold), creating foundational tables, star schemas, and reporting marts with defined SLAs and data quality contracts;\nTune Spark jobs and pipeline components to meet SLA requirements by optimizing partitions, reducing shuffle, and implementing efficient transformation patterns;\nImplement automated data quality checks using frameworks like Great Expectations, establishing quality contracts across pipeline layers;\nDiagnose complex, multi-system pipeline issues—profiling Spark UI stages, tracing Kafka consumer lag, identifying dbt dependency failures—and design mitigations proactively;\nCreate and maintain technical documentation, data model diagrams, and operational runbooks for production support;\nRequirements:\n5+ years of Data engineering experience;\nAdvanced proficiency in Python, Spark, and SQL;\nStrong experience with AWS and Databricks;\nFamiliarity with Kafka and modern Data stack tools (DBT, Airflow or equivalent);\nDeep understanding of dimensional modeling (star/snowflake schemas), medallion architecture, data warehouse design principles;\nAI fluency: able to structure problems to leverage AI assistance and design pipelines that assume AI-assisted development;\nKnowledge of system topologies (lambda, kappa, lakehouse);\nStrong spoken English (Intermediate level and higher).\nWorking conditions:\nRemote work\nFull-time (8 hours/day)\nAttractive USD compensation\nPaid vacation, holidays\n7GXC2f91zM","company":"Nitka Technologies","rawCompany":"nitka technologies","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T18:18:22.095Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan.\nWe are looking for an experienced Data Engineer for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA.\nWe offer 100% remote, full-time work\n\nResponsibilities:\nLead discovery and requirements-gathering sessions with business stakeholders; document source schemas and define analytics-ready data model specifications;\nBuild, optimize and maintain end-to-end data pipelines ETL/ELT frameworks with reusable dbt macros, incremental models, and snapshot patterns to ensure fault-tolerant, scalable data delivery;\nDesign and implement data models following medallion architecture patterns (bronze/silver/gold), creating foundational tables, star schemas, and reporting marts with defined SLAs and data quality contracts;\nTune Spark jobs and pipeline components to meet SLA requirements by optimizing partitions, reducing shuffle, and implementing efficient transformation patterns;\nImplement automated data quality checks using frameworks like Great Expectations, establishing quality contracts across pipeline layers;\nDiagnose complex, multi-system pipeline issues—profiling Spark UI stages, tracing Kafka consumer lag, identifying dbt dependency failures—and design mitigations proactively;\nCreate and maintain technical documentation, data model diagrams, and operational runbooks for production support;\nRequirements:\n5+ years of Data engineering experience;\nAdvanced proficiency in Python, Spark, and SQL;\nStrong experience with AWS and Databricks;\nFamiliarity with Kafka and modern Data stack tools (DBT, Airflow or equivalent);\nDeep understanding of dimensional modeling (star/snowflake schemas), medallion architecture, data warehouse design principles;\nAI fluency: able to structure problems to leverage AI assistance and design pipelines that assume AI-assisted development;\nKnowledge of system topologies (lambda, kappa, lakehouse);\nStrong spoken English (Intermediate level and higher).\nWorking conditions:\nRemote work\nFull-time (8 hours/day)\nAttractive USD compensation\nPaid vacation, holidays\n7GXC2f91zM","datePosted":"2026-08-04T18:18:22.095Z","dateModified":"2026-08-04T18:18:22.095Z","hiringOrganization":{"@type":"Organization","name":"Nitka Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"10705094c503152e67e40cc3"},"url":"https://jobsearcher.com/jobs/10705094c503152e67e40cc3"}}