The Boeing Company is looking for a Senior AWS Software Data Engineer to join our Digital Analytics and System Health (DASH) software team in Hazelwood, MO. This position will focus on design, implement, and production scale AWS Data services, coordinate, and lead S3 capabilities, SQS, Lambda, as well as DynamoDB and data governance and warehousing processes and functions to support several large-scale digital analytics capabilities for the Boeing Global Services (BGS) organization. Our Digital Analytics and System Health (DASH) software team develops and maintains many off-board systems health, maintenance, repair, and overhaul digital capabilities that provide both our internal support teams and our external customers from both domestic and international defense markets with advanced analytics solutions to support data driven decisions in aircraft and off platform systems health and maintenance processes. These capabilities provide our customers the ability to reduce maintenance times, and costs, and increase readiness and platform availability across their entire fleets. The role involves close collaboration with Product Managers, Product Owners, and the Data Team Service Delivery Manager to migrate, scale, and strengthen data intake, storage, and delivery pipelines. It focuses on designing, developing, testing, and maintaining innovative data-focused software solutions that adhere to the highest industry, customer, safety, and regulatory standards. Candidates will transform customer requirements into advanced software data capabilities while addressing complex challenges involving both structured and unstructured data to support data analysts and scientists. The position requires crafting and implementing robust data ingestion strategies—both batch and streaming—along with transformation patterns and orchestration across diverse data sources. Working alongside various stakeholders, the role leads data modeling efforts for acquisition and database implementation and oversees the development and maintenance of sophisticated infrastructure systems such as data warehouses and data lakes, including data access APIs. Additionally, this role provides guidance to data and analytics professionals on best practices and data standards. It fosters a culture of collaboration, reuse, scalability, stability, and operational excellence, leveraging automation to maximize efficiency and impact. This role is ideal for those passionate about shaping the future of data engineering and making a significant contribution to innovative data solutions. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees