[Remote] Sr. Data Engineer

Note: The job is a remote job and is open to candidates in USA. Kobie is a recognized leader in loyalty solutions, providing innovative services to some of the world's most successful brands. As a Senior Data Engineer, you will be responsible for building and maintaining robust data pipelines and architectures, ensuring the reliability and scalability of the data platform that supports client reporting and AI-driven products.ResponsibilitiesServe as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines, dimensional models, and Snowflake environments that power client reporting and dashboards run reliably, at scale, every dayTranslate client loyalty program requirements into production-ready data warehouse structures — from source system analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables and extracts that downstream reporting and client services teams depend onDiagnosing and resolve data pipeline failures quickly enough that clients and internal stakeholders rarely notice they happened by bringing the debugging fluency and Snowflake depth to contain impact and prevent recurrenceBuild a data architecture that can absorb change by redesigning Kobie's data mart to support an incoming event-driven, domain-driven application layer without breaking the operational foundation already in productionDeliver the data infrastructure that makes AI-powered loyalty products possible. Not by building the models, but by building the reliable, well-governed platform that Kobie's innovation team needs to produce themLeave every pipeline more trustworthy than you found it, through automated testing, audit logging, CI/CD discipline, and documentation that makes the platform easier for the next engineer to ownSkills6+ years of Data Engineering experience designing and operating production grade data pipelines3+ years of hands-on Snowflake experience as a primary data warehousing solution, with deep fluency across data sharing, data clean rooms, marketplace, and SnowparkStrong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development, and automation scriptingDemonstrated CI/CD experience using GitHub and GitHub ActionsExperience with data replication tools (Kafka, GoldenGate, HVR, Qlik Replicate or similar)Deep understanding of Kimball dimensional modeling: star schemas, slowly changing dimensions, snapshot and transaction fact tablesExperience integrating a wide range of data sources, including APIs, messaging systems, and streaming platformsSolid grounding in OLTP, Data Vault, and data warehouse architecture patterns, with the ability to assess source systems and translate business requirements into dimensional modelsExperience designing event-driven architectures and understanding how they shape data pipeline designFamiliarity with domain-driven design concepts and how application architecture changes flow downstream into the warehouseCloud experience with Azure and/or AWSComfort working independently across concurrent projects in an Agile environment, with strong communication to non-technical data stakeholdersPrior experience in a terabyte-scale, multi-client data warehouse environment, you've worked at this kind of scale before and know what it demandsExperience with data replication tool Qlik Replicate, preferredFamiliarity with Apache NiFi or comparable data flow orchestration tools, preferredExposure to AI workflow integration within a data warehousing context, or experience building pipelines that serve downstream machine learning use casesBenefitsFlexible Time Off to recharge when neededNine Company-Wide HolidaysA diverse suite of benefits prioritizing your growth, development, and personal well-beingFreedom to work remotelyCompany OverviewKobie is a global, market-leading, end-to-end loyalty solutions provider for the world’s most successful brands. It was founded in 1990, and is headquartered in St. Petersburg, Florida, USA, with a workforce of 201-500 employees. Its website is http://www.kobie.com/.