Full Stack Software Developer

Boeing•Seattle, WA

2d•$147,000 - $171,800

About The Position

Full Stack Software Developer Company: The Boeing Company The Boeing Defense, Space and Security (BDS) organization encompasses a diverse portfolio of mission-critical solutions that Boeing delivers to customers around the world. Our products advance our customers' abilities to protect, connect, and explore from seabed to space with integrated mission focused solutions. As a member of the Quality Tools & Analytics team, the candidate will collaborate with cross-functional team members to solve complex problems using advanced data techniques. The candidate would support the Quality Decision Support System (QDSS) which is an integrated, web based Single Source of Truth platform. The platform is designed to support data driven decision making and cultural transformation by delivery of scalable AI/Data platforms and high value analytics products and services to the Quality and Supplier Quality organizations. The platform contains a blend of reporting, analytics, and transactional solutions that enable the functional processes. Position Responsibilities: Proactively drives the vision for data foundation and analytics to accelerate building and improvement of cross platform components, and define and execute on plan to achieve that vision. Conceptualizes and owns the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems. Leads the design, development, and maintenance of complex and scalable data pipelines to extract, transform, and load data from diverse sources into our data platform. Builds cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs. Determines and implements the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. Architects and implements end-to-end data integration, ETL, and data processing solutions that align with business goals and performance requirements. Optimizes and tunes data pipelines for maximum performance, scalability, and reliability. Influences product and cross-functional teams to identify data opportunities to drive impact. Applies proven expertise and build high-performance scalable data warehouses Technical Skills: • Front End – React JS, Palantir, .NET MVC • Back End – Python, FastAPI , Java, Springboot • Databases – SQL and No SQL • AWS Cloud – EC2, EKS, Fargate, RDS, DynamoDB

Requirements

Bachelor’s degree in computer science, Information Technology, Data Science, or a related field
Must have experience with Spring Framework, REST, Java
Ability to understand API specifications
Experience in developing services (sync and async) using Microservices Architecture and Design patterns
Experience in automated test (Mock, Mockito etc.).
Experience in working in SQL Databases with ability to model and ability to write Stored Procedures - Postgres or MySQL or any other relational databases.
Front End web development experience in React JS, .NET MVC
Should have demonstrated ability to work in AGILE environment.

Nice To Haves

Experience in GCP/Azure/AWS
Domain experience in Aerospace/Navigation Solutions/Geo Spatial technologies
Knowledge/experience in SAFe agile; pair programming etc
Knowledge on Android / iOS app development

Responsibilities

Proactively drives the vision for data foundation and analytics to accelerate building and improvement of cross platform components, and define and execute on plan to achieve that vision.
Conceptualizes and owns the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
Leads the design, development, and maintenance of complex and scalable data pipelines to extract, transform, and load data from diverse sources into our data platform.
Builds cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
Determines and implements the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
Architects and implements end-to-end data integration, ETL, and data processing solutions that align with business goals and performance requirements.
Optimizes and tunes data pipelines for maximum performance, scalability, and reliability.
Influences product and cross-functional teams to identify data opportunities to drive impact.
Applies proven expertise and build high-performance scalable data warehouses

Benefits

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.

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