Data Engineer

Company: Wealth Management Position: Data Engineer Pay: USD 100K - USD 140K + Bonus Locations: - First 90 days on site and then 1 day a week WFH - Plano, TX & Camas, WA Work Authorization: ONLY USC and GC no other visas will be considered. Education: Bachelor's degree in Computer Science, Information Technology, or other relevant field Experience: 5+ years' experience developing data-related solutions and software 5+ years of experience working with relational databases and applying it in various applications, including within the Microsoft Azure platform 2+ years of experience with multiple cloud technologies in the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud technologies 2+ years of experience designing and development on-premises and cloud-based (Azure) infrastructure and platform components 2+ years of hands-on development and deployment experience with Azure cloud using T-SQL, Azure SQL, Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software Advanced knowledge of database technologies such as Microsoft SQL Server, Oracle, or NoSQL databases Advanced knowledge of multiple programming languages, such as Python, SQL, Scala, or similar Advanced knowledge of IT infrastructure standards and tools, such as application performance monitoring, IT service management, or DevOps software Responsibilities Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files Develop and deploy structured, semi-structured, and unstructured data storage models and dimensional data models on various platforms to meet business requirements Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growth