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Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.Boeing Talent Acquisition is currently looking for Experienced Level Software Developers to join our Cloud Data Analytics Platform Team in Seattle, WA.Our team builds Boeing's single analytical data plane in Google Cloud Platform that serves as the foundation for data analytics capability of the company. The cloud-based infrastructure and self-services enable the company to operate in a more agile environment, responding to and anticipating analytics user and developer needs. This is a growing team, meaning you will help define the culture and processes with us as we build out the team together. A successful candidate will work with cutting-edge cloud architectures and help scale our data-driven platform. If you love designing, developing and running systems and infrastructure that will help analytics developers and users, then this is the place for you!Position Responsibilities:
- Develop, integrate, and support a single Cloud platform architecture for analytics products that simplifies and drives the productivity of data scientists, data analysts, machine learning developers, and analytics solutions developers throughout the company
- Develop, integrate, and support cloud self-service data platform tools and services for data product teams including but not limited to, domain-agnostic data processing/pipeline tools; data API frameworks; business intelligence tools
- Develop, integrate, and support cloud self-service for analytics solution teams, including but not limited to, data preparation, model training, model deployment, and data visualization
- Develop enterprise-wide machine-learning(ML), Artificial Intelligence (AI) platform, enabling compliant management of ML models while making it fast to get an ML model into production
- Experience with Python, Java or Golang
- Experience with SQL
- Experience with Linux or Bash
- Experience in DevOps and Software Development such as building container applications (Docker, Kubernetes) and using CI/CD tools (Jenkins, GitLab CI, Circle CI, etc) to deploy in production cloud environments (Google Cloud Platform, AWS, Azure)
- Experience in Data Analytics Development such as developing both batch and stream data pipelines with Apa
- Experience in Machine Learning Development such as developing ML training and serving pipelines using commercial platforms (Dataiku, Kubeflow, MLFlow, TFX) and/or cloud ML platforms (Vertex AI, AWS SageMaker, Azure ML)
- Experience in Data Science such as building AI models/solutions