Senior AWS Software Data Engineer

Senior AWS Software Data Engineer Company: The Boeing Company 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. Position 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 Basic Qualifications (Required Skills/Experience): 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 Preferred Qualifications (Desired Skills/Experience): 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 Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $160,650 - $217,350 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. 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