Senior Data Engineer: Automate ETL & Data Modeling

GE Aerospace; Dayton (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

GE Aerospace is seeking a data engineer to design, develop, test, and implement data engineering processes that enable analytical and reporting solutions. You will build data dictionaries, profiles, models, and ETL jobs, while maintaining metadata structures and supporting post-deployment activities.

The role emphasizes automation opportunities using AI tools where appropriate and requires agile delivery. Minimum qualifications include a bachelor’s degree with 2+ years of experience (or

Qualifications

• Bachelor's degree in a technical field with 2+ years of experience or equivalent
• Experience with data modeling and ETL concepts
• Experience with data governance and metadata management tools

Responsibilities

• Build data dictionaries and glossaries to analyze datasets
• Perform data profiling for source, warehouse, and target systems
• Create logical and physical data models for OLTP/OLAP
• Develop data mappings from requirements and analyses
• Build ETL jobs and data transformations across tools
• Maintain metadata for reusable ETL components
• Analyze reference datasets and MD M tools
• Assess impact on downstream systems and products
• Propose data quality rules and improvements
• Support post-deployment data work and automation opportunities
• Collaborate using agile methodologies and deliver timely results
• Ensure data security and governance compliance

Skills

Data modeling

Data profiling

SQL

Java/Python/Scala

Data quality

Education

Bachelor's degree in CS/Engineering

Tools

ERWin

Informatica

Talend

Alation

Collibra

TAMR

Hadoop/Spark

Job description

GE Aerospace is seeking a data engineer to design, develop, test, and implement data engineering processes that enable analytical and reporting solutions. You will build data dictionaries, profiles, models, and ETL jobs, while maintaining metadata structures and supporting post-deployment activities.

The role emphasizes automation opportunities using AI tools where appropriate and requires agile delivery. Minimum qualifications include a bachelor’s degree with 2+ years of experience (or