We're supporting a global leader in the aerospace industry in accelerating its digital transformation journey. As part of a strategic data modernization program within a major aircraft manufacturing organization, we are looking for a talented Data Engineer to join a high-impact Data Factory team.
You will contribute to the development and optimization of a next-generation data platform, helping business stakeholders leverage data-driven insights to enhance operational efficiency, manufacturing performance, and decision-making processes.
This role combines hands-on data engineering, platform expertise, and close collaboration with business teams in a dynamic and innovative environment. Based on the mission requirements, the position focuses on data engineering, analytics enablement, and Palantir Foundry development.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines and data products.
Build and enhance enterprise datasets, including both normalized and denormalized data models.
Develop new data domains and business-oriented datasets to support manufacturing and operational processes.
Ensure the quality, consistency, and reliability of data assets across the data platform.
Review and optimize existing datasets, improving data quality, maintainability, and code performance.
Partner with business stakeholders to translate functional requirements into robust technical solutions.
Provide technical guidance and best practices to business users and citizen developers.
Contribute to the delivery of end-to-end analytical solutions, including both backend data services and front-end reporting capabilities.
Support the continuous evolution of the organization's data landscape and single source of truth strategy.
Required Skills & Experience:
Technical Skills:
Hands-on experience with:
Proven expertise with Palantir Foundry, including:
Nice to Have:
Experience with Foundry OSDK.
Exposure to Data Science and advanced analytics use cases.
Experience working within manufacturing, aerospace, or industrial environments.
Knowledge of modern data governance and data quality frameworks.
Soft Skills:
Excellent analytical and problem-solving abilities.
Strong communication and stakeholder management skills.
Ability to bridge business needs and technical implementation.
Proactive mindset with a passion for continuous improvement.
Team player comfortable working in a multicultural and international environment.
Preferred Profile:
Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.
5+ years of experience in Data Engineering or Analytics Engineering roles.
Experience working directly with business stakeholders in agile delivery environments.
Ability to operate autonomously while collaborating within a broader transformation program.
The pay range that the employer in good faith reasonably expects to pay for this position is $39.30/hour - $61.40/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
