Beechcraft
Beechcraft designs, builds and supports versatile and globally renowned aircraft, including the King Air turboprops, piston-engine Baron
- Open roles
- 102
Job facts
- Location
- Wichita, Kansas, United States of America
Last verified live 4 hours, 46 minutes ago · checked directly on the company's Oracle Taleo
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Data Engineer II-IT
at Beechcraft
JOB SUMMARY:
Data Engineers design, build, and maintain robust data systems and pipelines that enable high-quality, efficient data delivery for analytics and data science. They are experts in both on-premises and cloud-based data systems, ensuring data is accessible, reliable, and optimized for consumption by analysts and scientists.
The IT Data Engineer will work as part of a skilled and collaborative data engineering team building data pipelines to support strategic initiatives and operational decision-making. The position’s primary role is to leverage enterprise data focusing on scalable solutions, data governance, and continuous improvement of data architecture.
At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy.
JOB RESPONSIBILITIES:
· Build and maintain data pipelines using SQL, Python, and ETL tools.
· Support data ingestion, transformation, and integration from diverse sources.
· Document data flows and contribute to data quality and governance practices.
· Develop foundational understanding of business domains and data requirements.
· Troubleshoot basic data issues and support operational data needs.
· Independently design and implement scalable data pipelines and workflows.
· Optimize data storage and retrieval for performance and reliability.
· Manage data in both on-premises and cloud environments (Azure, AWS, etc.).
· Collaborate with analysts and scientists to understand data requirements and deliver solutions.
· Contribute to the development of data architecture standards and best practices.