Senior AWS Software Data Engineer

BoeingHazelwood, MO
$160,650 - $217,350Onsite

About The Position

The Boeing Company is seeking a Senior AWS Software Data Engineer to join their Digital Analytics and System Health (DASH) software team in Hazelwood, MO. This role will focus on the design, implementation, and production scaling of AWS Data services, including S3 capabilities, SQS, Lambda, DynamoDB, and data governance and warehousing processes. The position supports large-scale digital analytics for the Boeing Global Services (BGS) organization, developing and maintaining systems for aircraft and off-platform systems health, maintenance, repair, and overhaul. These solutions provide advanced analytics to internal support teams and external customers in defense markets, aiming to reduce maintenance times and costs while increasing readiness and platform availability. The role involves close collaboration with Product Managers, Product Owners, and the Data Team Service Delivery Manager to enhance data intake, storage, and delivery pipelines. It requires designing, developing, testing, and maintaining innovative data-focused software solutions that meet high industry, customer, safety, and regulatory standards. Candidates will translate customer requirements into advanced software data capabilities, addressing complex structured and unstructured data challenges to support data analysts and scientists. Key responsibilities include crafting and implementing robust batch and streaming data ingestion strategies, transformation patterns, and orchestration across diverse data sources. The role also involves leading data modeling efforts, overseeing the development and maintenance of data warehouses and data lakes, including data access APIs, and providing guidance on best practices and data standards. A strong emphasis is placed on fostering collaboration, reuse, scalability, stability, and operational excellence through automation.

Requirements

  • Bachelor Degree
  • Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship
  • 8+ years of experience with Data Engineering and/or Software Development
  • 5+ years of experience designing, implementing, and integrating big data platforms
  • 5+ years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud)
  • 3+ years of experience deploying and managing distributed systems on at least one cloud platform (e.g., Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP))
  • 3+ years of experience with the configuration of Application Programming Interfaces (APIs) for data ingestion

Nice To Haves

  • Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience OR Bachelor’s Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience
  • Experience with DevOps/DevSecOps and CI/CD practices, methodologies, and tooling
  • Experience with Jira and GIT
  • Experience with Amazon OpenSearch, RedShift, Lambda
  • Experience with Tanzu (formerly PCF)
  • Experience with NoSQL data services (DynamoDB or DocumentDB)
  • Experience with Python, JavaScript, & SQL languages

Responsibilities

  • Leads the design, development, test, and maintenance of cloud data solutions throughout the end-to-end lifecycle that meets industry, customer, safety, and regulation standards
  • Leads review, analysis, and translation of customer requirements into initial design of software data products
  • Coordinates the development, maintenance, enhancement and optimization of software data products and functionalities for systems integrations
  • Leads activities to develop, document and maintain architectures, requirements, and designs for software data products
  • Debugs and leads resolution of issues identified to ensure the reliability and efficiency of software data products
  • Leads research and implementation of current and emerging technologies, tools, frameworks, and changes in regulations relevant to software development
  • Leads development, establishment, monitoring and improvement of software data processes, tools and key performance metrics that align projects with organizational goals and industry benchmarks
  • Leads execution and documentation of software data research and development projects
  • Consults on software domains, system-specific issues, processes, and regulations

Benefits

  • health insurance
  • flexible spending accounts
  • health savings accounts
  • retirement savings plans
  • life and disability insurance programs
  • paid and unpaid time away from work
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