Lead Data Engineer: ML & Data Systems

The Boeing Company; Hazelwood (MO); On-site; USD 142,800 - 193,200; Full time

Job summary

The Boeing Company in Saint Louis, MO is seeking a Senior Data Engineer to design, deploy, and lead data science initiatives within a proprietary program. You will mentor junior scientists, collaborate with cross-functional teams, and implement ML models that integrate with customer environments, on-site.

Requirements include a BS in engineering or related field, 9 years of experience in data science or ML, and proficiency in Python/Java/C++.

Qualifications

• Bachelor of Science in Engineering or related field.
• 9 years of professional experience in data science, AI, or ML.
• Programming in Python, Java, C++, C# or similar languages.
• Experience leading technical teams or projects.

Responsibilities

• Collaborate with cross-functional teams to define data requirements and data quality standards.
• Build systems for data analysis to identify patterns and insights that drive decisions.
• Provide technical leadership to a team of data scientists.
• Implement and deploy ML models, integrating into customer environments.
• Collaborate with domain experts to apply engineering knowledge to data analysis.
• Continuously evaluate and improve models for accuracy and efficiency.
• Ensure data security, privacy, and compliance throughout analysis lifecycle.
• Stay up-to-date with data science and aerospace tech to drive innovation.
• Communicate findings to technical and non-technical stakeholders with clear visuals.
• Mentor junior data scientists and contribute to data science best practices.

Skills

Python

C++

Java

Team leadership

Data analysis

Machine learning

Education

Bachelor's degree in STEM

Advanced degree preferred

Tools

PyTorch

TensorFlow

MLFlow

ClearML

Azure

AWS

Job description

The Boeing Company in Saint Louis, MO is seeking a Senior Data Engineer to design, deploy, and lead data science initiatives within a proprietary program. You will mentor junior scientists, collaborate with cross-functional teams, and implement ML models that integrate with customer environments, on-site.

Requirements include a BS in engineering or related field, 9 years of experience in data science or ML, and proficiency in Python/Java/C++.