{"schemaVersion":"jobsearcher.job.v1","id":"7ea7f014cc25c6b761e3ec6d","url":"https://jobsearcher.com/jobs/7ea7f014cc25c6b761e3ec6d","canonicalUrl":"https://jobsearcher.com/jobs/7ea7f014cc25c6b761e3ec6d","title":"Senior Data Engineer","description":"Senior Data EngineerJoin Sigma Software to build large-scale data infrastructure powering a real-time AdTech platform processing hundreds of millions of auction requests daily. We are looking for a Senior Data Engineer who enjoys solving complex distributed data challenges and building production-grade ML-oriented data systems.You will become part of a dedicated Sigma Software team developing predictive modeling and optimization capabilities for a live advertising ecosystem. The role combines large-scale event processing, streaming and batch pipelines, experimentation infrastructure, and high-throughput data engineering in a cloud-native environment.We as a company offer the opportunity to work on impactful global products, collaborate with experienced engineers, and contribute to architecture decisions while growing your expertise in large-scale distributed systems and modern data platforms.Our Customer is a technology company operating supply-side infrastructure within the programmatic advertising ecosystem. The company manages a large-scale ad exchange handling hundreds of millions of auction requests per day and is actively investing in predictive decisioning technologies to optimize advertising outcomes in real time.The project focuses on building a predictive modeling and optimization platform on top of a live ad exchange environment. The platform performs real-time supply scoring and filtering, contextual performance estimation, look-alike audience generation, and multi-objective optimization under business constraints.The solution processes massive-scale event and auction datasets and includes feature engineering pipelines, streaming and batch ingestion, experimentation infrastructure, point-in-time-correct training data generation, and ML-oriented data services with strict operational reliability and compliance requirements.Job DescriptionWrite and defend diagnostic SQL queries against large-scale production datasetsBuild and maintain ingestion pipelines for bid, win, and impression logs into BigQueryHarmonize fields across independently designed datasets and maintain versioned field mappingsDevelop point-in-time-correct feature tables and aggregation pipelinesDesign and maintain conversion and labeling pipelines with delayed label handlingOwn the data serving write path, schema contracts, publishing flows, and freshness SLOsBuild experimentation infrastructure including traffic splitting and reporting pipelinesPerform large-scale historical backfills and safe reprocessing after mapping changesImplement data isolation and safe-aggregation controls for advertiser data protectionDevelop automated data quality validation frameworksCollaborate closely with Customer engineers and prepare operational documentationContribute to architecture discussions and platform scalability improvementsQualifications5+ years of experience in Data EngineeringAt least 2 years of experience working with production ML or large-scale analytics pipelinesExpert-level SQL skills including window functions and incremental processing patternsStrong Python skills for production-grade pipeline developmentHands-on experience with Spark or PySparkExperience designing ETL / ELT pipelines with Airflow, Cloud Composer, Dagster, or similar toolsExperience working with cloud data warehouses at scale, preferably BigQueryStrong understanding of data modeling and point-in-time correctnessExperience working with event-driven or clickstream datasets at very large scaleExperience supporting business-critical production pipelinesUpper-Intermediate English level or higherWill Be A PlusExperience with GCP services including Dataflow, Pub/Sub, GCS, and BeamExperience building streaming or near-real-time ingestion systemsUnderstanding of feature stores, train/serve skew, and label leakage preventionExperience in AdTech or auction-based environmentsExperience handling delayed or incomplete labels in ML systemsExperience with dbt or similar transformation frameworksExperience delivering solutions into Customer-owned infrastructureKnowledge of GDPR/CCPA-related privacy engineering practicesExperience with experimentation infrastructure and statistical validation pipelinesExperience working in hybrid cloud/on-prem Linux environmentsTerraform and Kubernetes experienceExperience optimizing warehouse cost and performanceAdditional InformationPersonal ProfileStrong analytical and problem-solving skillsOwnership-oriented mindsetAbility to work independently in a client-facing environmentStrong communication and documentation skillsComfortable working in a fast-paced engineering environmentCollaborative and proactive attitude","company":"Sigma Software","rawCompany":"sigma software","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-16T14:07:59.409Z","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":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Senior Data Engineer","description":"Senior Data EngineerJoin Sigma Software to build large-scale data infrastructure powering a real-time AdTech platform processing hundreds of millions of auction requests daily. We are looking for a Senior Data Engineer who enjoys solving complex distributed data challenges and building production-grade ML-oriented data systems.You will become part of a dedicated Sigma Software team developing predictive modeling and optimization capabilities for a live advertising ecosystem. The role combines large-scale event processing, streaming and batch pipelines, experimentation infrastructure, and high-throughput data engineering in a cloud-native environment.We as a company offer the opportunity to work on impactful global products, collaborate with experienced engineers, and contribute to architecture decisions while growing your expertise in large-scale distributed systems and modern data platforms.Our Customer is a technology company operating supply-side infrastructure within the programmatic advertising ecosystem. The company manages a large-scale ad exchange handling hundreds of millions of auction requests per day and is actively investing in predictive decisioning technologies to optimize advertising outcomes in real time.The project focuses on building a predictive modeling and optimization platform on top of a live ad exchange environment. The platform performs real-time supply scoring and filtering, contextual performance estimation, look-alike audience generation, and multi-objective optimization under business constraints.The solution processes massive-scale event and auction datasets and includes feature engineering pipelines, streaming and batch ingestion, experimentation infrastructure, point-in-time-correct training data generation, and ML-oriented data services with strict operational reliability and compliance requirements.Job DescriptionWrite and defend diagnostic SQL queries against large-scale production datasetsBuild and maintain ingestion pipelines for bid, win, and impression logs into BigQueryHarmonize fields across independently designed datasets and maintain versioned field mappingsDevelop point-in-time-correct feature tables and aggregation pipelinesDesign and maintain conversion and labeling pipelines with delayed label handlingOwn the data serving write path, schema contracts, publishing flows, and freshness SLOsBuild experimentation infrastructure including traffic splitting and reporting pipelinesPerform large-scale historical backfills and safe reprocessing after mapping changesImplement data isolation and safe-aggregation controls for advertiser data protectionDevelop automated data quality validation frameworksCollaborate closely with Customer engineers and prepare operational documentationContribute to architecture discussions and platform scalability improvementsQualifications5+ years of experience in Data EngineeringAt least 2 years of experience working with production ML or large-scale analytics pipelinesExpert-level SQL skills including window functions and incremental processing patternsStrong Python skills for production-grade pipeline developmentHands-on experience with Spark or PySparkExperience designing ETL / ELT pipelines with Airflow, Cloud Composer, Dagster, or similar toolsExperience working with cloud data warehouses at scale, preferably BigQueryStrong understanding of data modeling and point-in-time correctnessExperience working with event-driven or clickstream datasets at very large scaleExperience supporting business-critical production pipelinesUpper-Intermediate English level or higherWill Be A PlusExperience with GCP services including Dataflow, Pub/Sub, GCS, and BeamExperience building streaming or near-real-time ingestion systemsUnderstanding of feature stores, train/serve skew, and label leakage preventionExperience in AdTech or auction-based environmentsExperience handling delayed or incomplete labels in ML systemsExperience with dbt or similar transformation frameworksExperience delivering solutions into Customer-owned infrastructureKnowledge of GDPR/CCPA-related privacy engineering practicesExperience with experimentation infrastructure and statistical validation pipelinesExperience working in hybrid cloud/on-prem Linux environmentsTerraform and Kubernetes experienceExperience optimizing warehouse cost and performanceAdditional InformationPersonal ProfileStrong analytical and problem-solving skillsOwnership-oriented mindsetAbility to work independently in a client-facing environmentStrong communication and documentation skillsComfortable working in a fast-paced engineering environmentCollaborative and proactive attitude","datePosted":"2026-10-16T14:07:59.409Z","dateModified":"2026-10-16T14:07:59.409Z","hiringOrganization":{"@type":"Organization","name":"Sigma Software","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7ea7f014cc25c6b761e3ec6d"},"url":"https://jobsearcher.com/jobs/7ea7f014cc25c6b761e3ec6d"}}