Senior Software Developer - Cloud Data Platform (Virtual)

25 Jun 2024

Vacancy expired!

Job Description

At 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 seeking Senior Software Developers to join our Cloud Data Analytics Platform Team in Seattle, WA.

Boeing's single analytical data plane in Google Cloud Platform 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. As the Platform Developer Technical Leader, you will have the opportunity to work with cutting-edge cloud architectures and help scale our data-driven platform. This is a growing team, meaning you will help define the culture and processes with us as we build out the team together. If you love designing, developing and running systems and infrastructure that will help analytics developers and users, and you also enjoy leading and mentoring a team, then this is the place for you!

Position Responsibilities:
  • Builds a single Cloud platform architecture for analytics products that simplify and drives the productivity of data scientist platform, data scientists, data analysts, machine learning developers, and analytics solutions developers throughout the company
  • Architects, develops and delivers enterprise-wide data infrastructure as a service (including but not limited to domain-agnostic data processing/pipeline tools; data API frameworks; business intelligence tools), enabling data product teams to move fast and with high quality for their stakeholders
  • Architects, develops and delivers enterprise-wide machine-learning(ML) as a service, enabling compliant management of ML models while making it fast to get an ML model into production
  • Dive deeply into the data and understand the business processes supported, applying statistics and data modeling to gain actionable business insights and drive recommendations
  • Serves as Technical Lead in build up our team. Through a combination of mentoring, on the job training, technical leadership, make others better and raise the bar for those around you

This position has been identified as a virtual opportunity and does not require applicants to live in Seattle, WA.

The position must meet Export Control compliance requirements, therefore a "U.S. Person" as defined by 22 C.F.R. § 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

Basic Qualifications (Required Skill/Experience):

- Experience leading a project or team

- Experience with Python, Java or Golang

- Experience with SQL

- Experience with Linux or Bash

- Experience building data pipelines, ideally for cloud services

Preferred Qualifications (Desired Skills/Experience):

-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 Apache Beam or Google DataFlow, Apache Kafka or Google Pub/Sub

- 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

Typical Education/Experience:

Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+9 years' related work experience, Master+12 years' related work experience, 18 years' related work experience, etc.).

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Shift:

This position is for 1st shift

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. 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.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $107,100 - $198,900

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

  • ID: #43623505
  • State: Maryland Beltsville 20704 Beltsville USA
  • City: Beltsville
  • Salary: USD TBD TBD
  • Job type: Permanent
  • Showed: 2022-06-25
  • Deadline: 2022-08-23
  • Category: Et cetera