Senior Software Developer - Data Engineering

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Senior Software Developer - Data Engineering

Company: The Boeing Company

Job ID: 00000425611

Date Posted: 2024-06-11

Location: USA - Arlington, VA, USA - Hazelwood, MO, USA - Philadelphia, PA, USA - Seattle, WA

Job Description and Qualifications

Boeing Defense, Space and Security (BDS) is seeking a Senior Software Developer – Data Engineering to support our dynamic team in Seattle, WA, Arlington, VA, Philadelphia, PA, or Hazelwood, MO! At Boeing, we are all innovators on a mission to connect, protect, explore, and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us.

Position 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, 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 integration 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 domain-related data pipelines.
  • Own the end-to-end data ecosystem.
  • Work in collaboration with infrastructure and DevOps 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.

Basic Qualifications (Required Skills/Experience)

  • 5+ years of experience writing software for data services.
  • 5+ 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 acquired through advanced technical education (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience, 13 years' related work experience, etc.).