Durability Data Analytics Principal Engineer

RTX; East Hartford (CT); On-site; USD 108,000 - 205,000; Full time

Benefits offered by this job

Relocation

Benefits

Job summary

RTX’s Hot Section Engineering (HSE) analytics team in East Hartford, CT is seeking a data-engineering focused engineer to analyze fielded engine performance and drive robust predictions. The role emphasizes fleetwide analysis and technically sound insights to guide business decisions.

You will build and optimize Databricks ETL pipelines, apply advanced statistics and AI/ML, and present findings to stakeholders with clarity. A STEM background and data-science experience are essential for success.

Qualifications

• Bachelor’s degree in STEM with 8+ years engineering experience or an advanced degree with 5+ years.
• Master’s Degree in Data Science or related discipline.
• Expert Python proficiency with experience working with teams in a revision managed environment.
• Proficient in SQL and comfortable managing large datasets.
• Knowledge of statistical analysis techniques, especially reliability analysis.

Responsibilities

• Optimize and execute ETL pipelines within Databricks to integrate data into the existing data warehouse
• Interrogate the data to drive insights, and incorporate advanced statistical analysis, including the adoption of AI/ML tools
• Utilize a variety of data visualization tools and techniques to present findings to technical and non-technical stakeholders
• Collaborate with cross-functional teams to identify data requirements, ensure data accuracy, and maintain data integrity across the analytics workflow
• Drive advancement, consistency, and continuous improvement of Hot Section life predictions

Skills

Python

SQL

Databricks

Data engineering

Statistics / reliability analysis

AI/ML tooling

Education

Bachelor’s degree in STEM

Advanced degree (MS/PhD) in related field

Tools

Databricks

Relational databases

Job description

RTX’s Hot Section Engineering (HSE) analytics team in East Hartford, CT is seeking a data-engineering focused engineer to analyze fielded engine performance and drive robust predictions. The role emphasizes fleetwide analysis and technically sound insights to guide business decisions.

You will build and optimize Databricks ETL pipelines, apply advanced statistics and AI/ML, and present findings to stakeholders with clarity. A STEM background and data-science experience are essential for success.