Principal Data Engineer - Parametric

Morgan Stanley•Seattle, WA

12d•$115,000 - $225,000

About The Position

We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Salary range for the position: $115,000 - $225,000/Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Requirements

Bachelor's in Computer Science, Mathematics, or Engineering or equivalent work experience
10+ years of data engineering, data science, or software engineering experience
3+ years of experience with Snowflake
4+ years of experience in AWS (or similar cloud technologies) cloud stack including S3, IAM, Athena, SNS, SQS, and EMR.
6+ years of SQL Server and experience with tools such as SSIS and SSRS
Demonstrated success providing both expert technical guidance and team leadership
Capability of architecting highly scalable distributed systems, using different open-source tools
Highly skilled in leading teams using Agile development process such as Kanban or Scrum
Demonstrated experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and data infrastructures
Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases
Ability to collaborate and partner across a diverse team
Ability to create strong work ethics and committed teams, foster open dialogue, and promote individual and team success