
Data Engineer II
4w1 month agoTextron Inc.
Wichita, US · Full-time · $85,000 – $105,000
About this role
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.
In this role, you will build and maintain data pipelines using SQL, Python, and ETL tools, supporting data ingestion, transformation, and integration from diverse sources. You will also document data flows and contribute to data quality and governance practices while troubleshooting basic data issues and supporting operational data needs.
You will work as part of a skilled and collaborative data engineering team, leveraging enterprise data with a focus 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. As you join our legacy as a global leader in private aviation, you’ll have opportunities to try new fields, expand your skills and knowledge, stretch your abilities, and build your career.
Requirements
- Proficiency in SQL and Python for data pipeline development.
- Experience with ETL tools and data integration techniques.
- Understanding of data quality and governance practices.
- Ability to design and implement scalable data pipelines.
- Experience with both on-premises and cloud-based data systems.
- Strong troubleshooting and problem-solving skills.
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.
Benefits
- Competitive total rewards package including pay and innovative benefits.
- Support for you and your family from day one.
- Opportunities to try new fields, expand skills, and build your career.
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