Staff Data Engineer

GE Aerospace is a leader in aviation technology and innovation, and they are seeking a Staff Data Engineer to manage critical data engineering processes and architecture solutions. The role involves owning data infrastructure, ensuring data quality, and collaborating with teams to support key projects within the organization.

Responsibilities:

• You will own data infrastructure, pipelines & database implementations needed for a new solution being built on Miro platform
• You will be responsible for ensuring data quality, data availability & performance for the datasets needed for this project
• You will be responsible for managing ETLs & data storage solutions
• Build a variety of data loading & data transformation methods using multiple tools and technologies
• Design & build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
• Manage metadata structures needed for building reusable Extract, Transform & Load (ETL) components
• Analyze the impact of changes to downstream systems/products and recommend alternatives to minimize the impact
• Design robust data models
• Work closely with the development team to understand the data needs
• Collaborate with infra, security teams to ensure compliance, security & operational stability of data pipelines

Requirements:

• Bachelor's degree from accredited university or college with minimum of 4 years of professional experience OR Associates degree with minimum of 7 years of professional experience OR High School Diploma with minimum of 9 years of professional experience
• Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job
• Exposure to industry standard data modeling tools
• Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend
• Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g., Alation, Collibra, etc.)
• Hands-on experience in programming languages like Java, Python or Scala
• Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL
• Proven experience designing, building, and operating production-grade ETL/ELT pipelines
• Expertise in data modeling for analytics and operational workloads; strong understanding of relational and non-relational databases
• Experience with CI/CD, infrastructure-as-code, logging, metrics, alerting, and performance tuning for data systems
• Demonstrated ability to design and document complex data architectures and lead others in implementing them