Durability Data Analytics Lead Engineer

OpenTalent; East Hartford (CT); On-site; USD 130,000 - 170,000; Full time

Job summary

Pratt & Whitney in East Hartford, CT is seeking a motivated data engineer to join the Hot Section Durability team. You will evaluate fielded performance of hot section products in engines, build scalable analytics, and drive data-driven decisions.

The role emphasizes ETL in Databricks, statistical analysis, AI/ML tooling, and collaboration with cross‑functional teams to improve fleet-wide durability predictions.

Qualifications

• Requires a STEM bachelor’s degree with 8 years of engineering experience, or an advanced degree with 5 years of experience.
• Preferred: Master’s in Data Science or related discipline.
• Experience in data engineering, database architecture, and reliability analytics welcomed.

Responsibilities

• Build and optimize ETL pipelines in Databricks to combine internal and external data into the data warehouse.
• Run advanced statistical analyses and explore AI/ML tools to derive actionable insights.
• Create data visualizations for technical and non‑technical stakeholders.
• Collaborate with cross-functional teams to define data requirements and ensure data integrity.
• Improve Hot Section life predictions through data-driven methodology.

Skills

ETL pipelines

Databricks

Statistical analysis

AI/ML tools

Data visualization

Cross-functional collaboration

Education

Bachelor’s degree in STEM

Advanced degree in related field (preferred)

Master’s Degree in Data Science (preferred)

Tools

Databricks

SQL/NoSQL databases

Job description

Pratt & Whitney in East Hartford, CT is seeking a motivated data engineer to join the Hot Section Durability team. You will evaluate fielded performance of hot section products in engines, build scalable analytics, and drive data-driven decisions.

The role emphasizes ETL in Databricks, statistical analysis, AI/ML tooling, and collaboration with cross‑functional teams to improve fleet-wide durability predictions.