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.
About the Role: As a Versatile Team Member, you will be a crucial asset in driving our mission to develop well-rounded software professionals. This program is designed to harness your existing strengths in areas like Java, .Net, Cloud, DevSecOps, Python, Data Analytics, Embedded Software and more, while exposing you to various business domains. You’ll be given the chance to Collaborate with multidisciplinary teams, tackling projects that span various businesses, and amplify your adaptability, problem-solving prowess, and cross-functional collaboration capabilities.
Position Responsibilities:
As a Versatile Team Member, you’ll be at the forefront of innovation and impact. Your responsibilities will include:
• Leverage your core expertise (among those listed below) to create innovative solutions that meet the needs of our diverse clientele.
• Cultivating a Versatile mindset and willingly learn new skill areas within Software Engineering domain through training and hands-on experience.
• Collaborate with multidisciplinary teams to understand project requirements, develop high-quality code, and deliver on time.
• Embrace the challenge of working on assignments spanning different domains, continuously broadening your skill set and perspective.
• Be dynamic to learn various products and services in Boeing within a short time span.
• Actively contribute to technical discussions, sharing your knowledge and learning from colleagues in various fields.
• Should have demonstrated ability to work in an AGILE environment.
• Strive for excellence in all assigned tasks, balancing speed and accuracy to deliver results that exceed expectations.
• The selected individual should aspire to further develop their skills in a secondary technical area, enriching your capabilities and becoming a more versatile software professional. As part of this, candidates will have the opportunity to select their secondary skill areas, and we are committed to providing tailored learning opportunities to facilitate this growth.
Basic Qualification:
• Bachelor’s degree in Computer Science, Engineering, or related field.
• 4 to 8 years relevant experience in below skill domains
• Solid programming knowledge in Python and good understanding of Data structures and Object-oriented programming concepts.
• Proficiency in data analysis libraries such as Pandas, NumPy, and advanced SQL querying.
• Proven track record of creating impactful data visualizations using tools like Matplotlib, Seaborn, or Tableau.
• Solid understanding of data preprocessing, cleansing, and transformation techniques.
• Strong grasp of statistical concepts and experience applying them to real-world data problems.
• Knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, columnar databases)
• Strong problem-solving skills and the ability to work with large, complex datasets.
• Excellent communication skills, with the ability to translate technical findings into actionable insights for stakeholders.
• Working exposure with Agile (Scrum & SAFe) and DevOps
• Proficiency in scripting languages (e.g., Python) for automating data workflows is a plus.
• Understanding of fundamental cloud computing concepts and familiarity with one major cloud platform, such as AWS, Azure, or Google Cloud Platform (GCP).
• Basic understanding of CI/CD pipelines, Knowledge of Docker and Kubernetes
Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 4 or more years’ related work experience or an equivalent combination of education and experience (e.g. Masters and 3 years’ related work experience, bachelors and 4 to 8 years’ related work experience, etc.)
Preferred Qualification (Desired Skills/Experience):
• Familiarity with ETL processes and data warehousing concepts.
• Experience with machine learning techniques and libraries (e.g., scikit-learn) for predictive modeling and analysis.
• Exposure to ML tools across major cloud platforms, such as AWS, Azure, or Google Cloud Platform (GCP).
• Strong problem-solving skills and the ability to think creatively and analytically.
• Excellent teamwork and communication skills, with the capacity to collaborate effectively across departments.
• Eagerness to learn and adapt in a fast-paced, dynamic environment.
• Prior experience in Aviation domain or Avionic Systems is a plus.
• Demonstrated commitment to continuous improvement and personal development.
• Candidate must be a self-starter with a positive attitude, high ethics, and a track record of working successfully under pressure in a time-constrained environment.
Typical Education & Experience:
Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 4 or more years’ related work experience or an equivalent combination of education and experience (e.g. Masters and 3 years’ related work experience, bachelors and 4 to 8 years’ related work experience, etc.)
Relocation The position offers relocation based on candidate’s eligibility
Export Control Requirements: Not an export control position
Equal Opportunity Employer:
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 (https://www.thevaluable500.com/) and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.
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.
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