Senior Data Engineer

Salary: $116000 - 155000 per year Requirements: We require a bachelors degree in Computer Science, Management Information Systems, or a closely related field. We want at least 2 years of professional experience in software development. We prefer 5+ years of experience working with SQL-based platforms. We prefer 2+ years of experience with NoSQL systems, or strong exposure to them. We prefer 5+ years of experience using Spark and/or the Hadoop ecosystem, such as Hadoop, YARN, MapReduce, Pig, or Hive. We prefer 1+ years of experience implementing data platforms on Azure or AWS, with advanced scope aligning to 2+ years. We prefer 1+ years of experience with CI/CD tools and practices, with advanced scope aligning to 2+ years. We prefer 2+ years of exposure to SOA architecture and service integration patterns. We need proficiency in Java, Scala, or C#, along with strong debugging, troubleshooting, and performance optimization skills. We value experience with shell scripting, logging and monitoring practices, and enterprise deployment standards. We look for experience productionizing big data solutions. Familiarity with Tableau or similar analytics tools is a plus. We value a proven ability to mentor others and thrive in Agile and DevOps environments. Responsibilities: We design, develop, test, and support enterprise data services that power analytics and business decision-making. We build and maintain highly available data pipelines for both batch and real-time processing at scale. We partner across teams to translate strategic needs into practical technical solutions. We help define requirements, establish data governance and retention practices, and strengthen standards and reliability. We improve operational excellence through automation, monitoring, documentation, performance analysis, and root-cause resolution. We collaborate with peer support teams and vendors when needed to resolve issues and keep platforms running smoothly. Technologies: AWS Azure Big Data C# CI/CD DevOps Hadoop Hive Support Java NoSQL SQL Scala Spark Tableau Yarn Cloud More: We are Aperture Cloud, a company built on connection, coffee, and a tradition of developing extraordinary leaders who serve others. In this senior Data Engineer role, we build the data services that enable exploration, preparation, and real-time analytics across the enterprise. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; life and disability insurance; paid parental leave; vacation, sick time, holidays, and personal days; retirement savings with company match; stock and equity programs; emergency savings support; tuition coverage through Arizona State Universitys online program; student loan resources; backup care; and DACA reimbursement. We work onsite four days per week and support equal opportunity employment and reasonable accommodations. last updated 27 week of 2026