Data Engineer

Data Quality & Reliability Analytics Engineer Position Overview

This role supports the integrity, reliability, and usability of aero engine reliability data used for engineering analysis, reporting, and decision-making. The successful candidate will play a critical role in validating complex datasets, automating data quality checks, and strengthening end-to-end data governance across analytics platforms.

• Support the collection, validation, and ongoing management of aero engine reliability datasets across multiple data sources.
• Proactively identify data gaps, inconsistencies, and quality issues within Power BI dashboards, engineering reports, and underlying databases.
• Design, develop, and maintain SQL queries, stored procedures, and database pipelines to enable automated data validation and monitoring.
• Implement end-to-end automation of data audits using Informatica workflows and integration tools to improve accuracy, scalability, and efficiency.
• Collaborate closely with reliability engineers, data analysts, and cross-functional stakeholders to enhance data quality processes and resolve issues.
• Contribute to the improvement of data models and ETL workflows to better support analytics, reporting, and long-term reliability insights.
• Ensure adherence to data governance standards, documentation requirements, and best practices throughout the data lifecycle.
• Perform root-cause analysis on data issues and actively support continuous process and quality improvements.
• US Citizenship required due to ITAR restrictions.

• High visibility and impact on mission-critical engineering data
• Opportunities to automate and improve legacy processes
• Close collaboration with technical and engineering teams
• A strong blend of data engineering, analytics support, and quality governance