Job Description
A Boston-based organization in the global travel and hospitality industry is seeking a Senior Data Engineer to join its Technology team. In this role, you will help build and maintain modern data infrastructure using technologies such as Snowflake, Azure, dbt, and Apache Airflow, supporting analytics, marketing insights, and enterprise reporting initiatives.
This position offers the opportunity to play a key role in modernizing legacy data environments and enabling scalable cloud-based data platforms. The team is looking for someone who enjoys solving complex data challenges and collaborating across analytics, marketing, and business teams to deliver trusted, high-quality datasets.
Hybrid 3x per week in Boston.
Required Skills & Experience
Bachelor's degree required
8+ years of experience working in data engineering or data warehouse environments
Strong understanding of data warehousing, dimensional modeling, and ELT architectures
Experience developing and maintaining ETL/ELT pipelines for structured and semi-structured datasets
Hands-on experience with Snowflake, Azure-based data platforms, dbt, and Apache Airflow
Experience modernizing legacy ETL workflows from platforms such as Informatica, Oracle, or SQL Server
Strong SQL and data modeling skills with experience optimizing large-scale datasets
Familiarity with Git version control, CI/CD pipelines, and agile development practices
Desired Skills & Experience
Experience integrating external vendor data using APIs, XML feeds, or web services
Exposure to marketing data platforms such as Adobe Campaign or similar tools
Experience using project management platforms such as Azure DevOps, Jira, or TFS
Ability to operate effectively in environments that combine legacy systems with modern cloud architecture
Experience mentoring junior engineers and contributing to engineering standards
What You Will Be Doing Tech Breakdown
40% Snowflake & Data Warehousing
30% Azure Cloud & Data Platform Services
20% dbt & Data Modeling
10% Apache Airflow & Workflow Orchestration
Daily Responsibilities
75% Hands-On Data Engineering & Development
10% Mentorship & Technical Guidance
15% Cross-Team Collaboration with Analytics, Marketing, and Business Stakeholders
The Offer
Bonus eligible
You will receive the following benefits:
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) with company match
Paid holidays and flexible time off
Tuition assistance and professional development opportunities
Commuter benefits and additional voluntary benefits
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10105282
- Position Id: 869012
- Posted 5 hours ago
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