✦ Luna Orbit — Data & Analytics

Principal Data Engineer - Parametric

at Morgan Stanley

📍 Seattle, Washington, United States of America Hybrid 💰 $115K – $225K USD / year Posted March 13, 2026
Salary $115K – $225K USD / year
Type Not Specified
Experience mid
Exp. Years 7+ years
Education Not specified
Category Data & Analytics

Lead data engineer role focusing on designing and maintaining scalable data pipelines and models at Morgan Stanley's Parametric team.

  • Design data models
  • Develop ETL pipelines
  • Mentor data engineers
  • Optimize data workflows
  • Ensure data integrity

Environment includes SQL, NoSQL, cloud data platforms, ETL workflows, and data modeling, with a focus on data quality and team mentorship.

The ideal candidate is a senior data engineer with at least 7 years of experience in designing data pipelines, optimizing SQL queries, and mentoring teams. They should have strong analytical skills and experience with cloud data platforms.

Expert in writing and optimizing SQL queriesDesigning and maintaining data pipelinesMentoring data engineersUnderstanding of data architecture
Experience with NoSQL systemsKnowledge of cloud data servicesData governance
SQLNoSQL databasesCloud data platforms
SQLData PipelinesData ModelingNoSQLSchema ValidationData QualityETLData ArchitecturePythonCloud Platforms
SQLData PipelinesData ModelingNoSQLSchema ValidationData QualityData TransformationETLData ArchitecturePythonCloud Platforms
LeadershipMentoringCommunicationAnalytical SkillsDetail-oriented
Industry Financial Services
Job Function Leading data pipeline development and data architecture design
SQLData PipelinesData ModelingNoSQLSchema ValidationData QualityETLData ArchitecturePythonCloud PlatformsMentoring

Less than 7 years of experience, Lack of SQL or data pipeline expertise, Inability to work in a hybrid environment

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