Data Engineer

DATA ENGINEER - CLOUD DATA PLATFORMREMOTE (USA)$120,000 - $135,000 BASE + BENEFITS The OpportunityBe part of a company undergoing a large-scale data modernization initiative as it builds the next generation of its cloud data ecosystem. This organization is investing heavily in data, analytics, and AI, creating a unique opportunity for a Data Engineer who wants to work on meaningful challenges involving data ingestion, transformation, platform scalability, and cloud architecture. You'll join a small, highly collaborative engineering team where you'll play a key role in building and maintaining the data foundation that powers reporting, analytics, operational insights, and future AI capabilities. If you're someone who enjoys solving complex data problems, taking ownership of solutions, and working in an environment where your impact is highly visible, this role offers an excellent opportunity for growth. What You'll DoBuild and support scalable data pipelines that move data from various source systems into a cloud data platformDevelop data integration and transformation workflows using Python and SQLCreate reliable, high-quality datasets that enable analytics, reporting, and business intelligence initiativesMonitor and improve data quality, performance, and reliability across the platformTroubleshoot pipeline failures, data inconsistencies, and operational issuesCollaborate with analytics and business teams to ensure trusted, usable data is available downstreamHelp establish best practices around DataOps, automation, observability, and platform governanceSupport ongoing cloud modernization and migration initiativesContribute to architectural decisions and continuous platform improvementsDeliver solutions that scale with a rapidly growing global business What We're Looking For5+ years of experience in Data Engineering, Data Platform Engineering, or similar rolesStrong experience designing, developing, and maintaining data pipelinesHands-on expertise with Snowflake, Databricks, or modern cloud data warehouse technologiesAdvanced SQL skills and strong proficiency in PythonExperience working within Azure or comparable cloud platformsSolid understanding of ETL/ELT processes, data integration, and data warehousing conceptsExperience managing data quality, monitoring, and operational supportComfortable working in fast-paced environments with significant ownership and accountabilityStrong problem-solving, communication, and collaboration skillsPassion for building solutions that enable data-driven decision making Why This RoleHelp build the data foundation for a company-wide digital transformationWork with modern technologies including Snowflake, Azure, Python, and cloud-native toolsJoin a lean, high-performing team where engineers have real ownershipInfluence architecture, standards, and the future direction of the data platformTackle large-scale data challenges that directly impact business outcomesGain exposure to analytics, AI, cloud modernization, and enterprise-scale data initiativesEnjoy the flexibility of a fully remote environmentAccelerate your career by working on highly visible projects with executive-level support If you're looking for an opportunity where you can build, own, and scale modern data solutions while helping shape the future of a growing cloud data platform, we'd love to connect.