Lead Software Developer - Data Engineering

Responsibilities

• Proactively drive 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.
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
• Lead the design, development, and maintenance of complex and scalable data pipelines to extract, transform, and load data from diverse sources into our data platform.
• Provide technical leadership and mentorship to a team of data engineers, ensuring best practices, code quality, and professional development.
• Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
• Define and manage SLA for all data sets in allocated areas of ownership.
• Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
• Architect and implement end-to-end data integration, ETL, and data processing solutions that align with business goals and performance requirements.
• Optimize and tune data pipelines for maximum performance, scalability, and reliability.
• Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains.
• Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
• Influence product and cross-functional teams to identify data opportunities to drive impact.
• Apply proven expertise and build high-performance scalable data warehouses
• Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
• Securely source external data from numerous partners
• Intelligently design data models for optimal storage and retrieval
• Deploy inclusive data quality checks to ensure high quality of data
• Optimize existing pipelines and maintain of all domain-related data pipelines
• Ownership of the end-to-end data ecosystem
• Work in collaboration with infrastructure and Dev Ops teams to ensure the availability, security, and efficiency of data platforms.
• Drive the adoption of modern data management practices, tools, and technologies within the organization.

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Basic Qualifications (Required Skills/Experience):

• 10+ years of experience writing software for data services
• 5+ years of experience in full stack software development
• 10+ years of experience developing data pipelines
• 5+ years of experience developing software products in a cloud environment

Preferred Qualifications (Desired Skills/Experience):

• Bachelor’s degree in a technical field (Master’s or Doctorate preferred)
• Experience in a manufacturing or aerospace environment
• Experience in data science or analytics

Typical

Education & Experience:

Education/experience typically 14 or more years' related work experience or relevant military experience. Advanced degree (e.g. Bachelor, Master, etc.) preferred, but not required

Relocation:

This position offers relocation based on candidate eligibility.

Note:

Basic relocation will be offered for eligible internal candidates.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids,…