Senior Data Engineer

2 weeks ago

Seattle, United States Washington Federal Full time

Senior Data Engineer Location : Location US-WA-Seattle Location : Address 425 Pike Street Location : City Seattle Location : State/Province WA ID 2024-2816 Category Technology Position Type Full Time Min USD $130,000.00/Yr. Max USD $160,000.00/Yr. Min USD $130,000.00/Yr. Max USD $160,000.00/Yr. Job Summary About the WaFd Enterprise Data Department Are you passionate about data and its transformative potential? At WaFd Bank's Enterprise Data Department, we're on a mission to harness the power of data to create exceptional customer experiences, fight fraud, and drive innovation. We invite you to join our dynamic team, where your initiative, critical thinking, and passion for data will thrive. Here, you'll play a pivotal role in shaping and implementing our data strategy, unlocking valuable insights that have a tangible impact on both the organization and our customers. Embrace the challenge, make a difference, and be part of a team that values your expertise and ambition. Job Summary As a Senior Data Engineer, you will have a leading role in designing, developing, and maintaining our organization's data infrastructure and systems required for data storage, processing, and analysis. You will be responsible for creating and maintaining robust ETL, data pipelines, and systems integrations to ensure the seamless flow of data across the organization. You will be a data evangelist use your expertise to collaborate with others to build data literacy, enable data-driven decision-making and optimize data management processes. Along with the key functions listed below, you will be expected to uphold the value that WaFd Bank places on simply being kind when working alongside colleagues and servicing our clients. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: Data Infrastructure Development Design, build, and maintain scalable data infrastructure, including data warehouses, data marts, and data lakes to support analytical and business needs. Collaborate with stakeholders to understand data requirements and translate them into effective data solutions. Data Pipeline Engineering Develop, implement, and maintain efficient data pipelines for ETL (Extract, Transform, Load) processes. Ensure data flows are automated, reliable, timely, and scalable, supporting various data needs across the organization. Data Architecture Work collaboratively and independently to design and implement database objects, including tables, views, and schemas, to support the analytical needs of the business. Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques Data Quality and Governance Develop and implement strategies and tactics to enhance and validate data quality, integrity, and consistency across multiple data sources and systems. Assist business units in understanding data governance and make recommendations to improve organization-wide data management. Documentation and Procedures Create and manage documentation and appropriate procedures necessary to enforce standards, communicate best practices, define roles and responsibilities, and sustain ongoing operations. Define and promote effective documentation best practices internally and externally. Security / Compliance Adhere to all applicable laws and regulations. Maintain a working knowledge of security threats, laws, and policy for data privacy and protection; take steps to protect organizational data from accidental or unauthorized damage, modification, or disclosure; assist with security and access management. Technical Support and Guidance Provide technical support and guidance to end-u

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