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FLEX Senior Manager - Senior Data Engineer - Marketing Owned

Marriott International • Bethesda, MD

Data & AnalyticsSeniorOn-siteFull time
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Additional Information

Job Number

26042893

Job Category

Information Technology

Location

Marriott International HQ, 7750 Wisconsin Ave, Bethesda, Maryland, United States, 20814 VIEW ON MAP

Schedule

Full Time

Located Remotely?

Y

Position Type

Management

Pay Range:

$48.26-$87.16 per hour

Expiration Date:

04/21/2026

This is a temporary position

Job Overview

Responsible for engineering solutions for Marketing and Digital Data Platforms Owned Pod to enable personalization and campaign optimization.

Job Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, or related field.
  • 7+ years of experience in software engineering and data platform development.
  • Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Proficiency in building large-scale, distributed systems and APIs using modern frameworks (e.g., Java, Spring Boot, or equivalent).
  • Strong understanding of data governance, security, and compliance standards.
  • Excellent collaboration and communication skills to work across marketing and technology teams.

Job Duties

  • Design and implement marketing and digital data solutions that support enterprise-scale personalization and analytics.
  • Collaborate with marketing, product, and technology teams to translate business requirements into technical solutions.
  • Ensure compliance with data governance and security standards across all marketing data platforms.
  • Optimize system performance and reliability through proactive monitoring and tuning.
  • Drive modernization initiatives, including cloud migration and automation of data workflows.
  • Mentor engineering teams and promote best practices in coding, testing, and deployment.

At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates.  We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.

All locations offer 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts. Benefits are subject to terms and conditions, which may include rules regarding eligibility, enrollment, waiting period, contribution, benefit limits, election changes, benefit exclusions, and others. Click here to learn more.

Full-time positions also offer coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, and paid parental leave.

Washington Applicants Only

: Employees will accrue paid sick leave, 0.0384 PTO balance for every hour worked and be eligible to receive minimum of 9 holidays annually.

Marriott HQ is committed to a hybrid work environment that enables associates to Be connected. Headquarters-based positions are considered hybrid, for candidates within a commuting distance to Bethesda, MD; candidates outside of commuting distance to Bethesda, MD will be considered for Remote positions.

Marriott International is the world’s largest hotel company, with more brands, more hotels and more opportunities for associates to grow and succeed. Be where you can do your best work,

begin

your purpose,

belong

to an amazing global team, and

become

the best version of you.

Interested in this role?

Apply now and hear back within days, not weeks.

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About Data & Analytics Roles

Data & analytics professionals in marketing transform raw data into actionable insights. They build dashboards, run attribution analysis, design experiments, and help marketing teams make data-driven decisions.

SQLPython/RDashboard building (Looker, Tableau)Statistical analysisMarketing attribution
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