Sr Data Engineer

Grand Circle Corporation•Boston, MA

1d•$140,000 - $150,000•Hybrid

About The Position

Grand Circle Corporation is the leader in international travel, adventure, and discovery for Americans aged 50+. Headquartered in Boston, MA, and with more than 45 offices globally, more than two million Americans have traveled with our award-winning travel brands: Grand Circle Cruise Line, Overseas Adventure Travel, and Grand Circle Travel. We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable, secure, and high-performing data platforms that support analytics, marketing, and business intelligence initiatives across the organization. This role will play a critical part in modernizing legacy data workflows, enabling cloud-native architectures, and partnering closely with analytics, marketing, and business stakeholders to deliver trusted, actionable data solutions. The ideal candidate thrives in a collaborative environment, enjoys solving complex data challenges, and is passionate about building modern, scalable systems that directly influence business outcomes. With trips in nearly 100 countries, you'll never run out of new places, people, and cultures to feed your wanderlust. From the Maasai warriors of Kenya to the tranquil temples of Japan, your work will support a broad range of traveler experiences and business initiatives — so it’s fair to say "bored" is not in our lexicon.

Requirements

Bachelor’s degree required
6+ years of experience supporting data warehouse and data engineering environments
Strong understanding of data warehousing concepts, dimensional modeling, and ELT architecture
Hands-on experience building and supporting cloud-based data solutions
Experience working in hybrid environments spanning legacy systems and modern cloud platforms
Experience integrating external vendor data via APIs, web services, and XML-based sources
Proficiency with Git, CI/CD pipelines, and modern development practices
Experience with Azure DevOps, Jira, or similar Agile project management tools
Strong collaboration and communication skills across technical and non-technical stakeholders
Ability to thrive in fast-paced, evolving environments
Flexible, curious, and solution-oriented mindset
Experience working within Agile teams and development environments

Responsibilities

Design, develop, and maintain scalable data pipelines using Snowflake, Azure, dbt, and Apache Airflow
Lead the migration and modernization of legacy ETL workflows (Informatica, Oracle, SQL Server) into cloud-native architectures
Build and optimize ELT/ETL processes for structured and semi-structured data from internal and external sources
Develop and manage Snowflake data models, including performance tuning, clustering strategies, and cost optimization
Implement dbt models following analytics engineering best practices including testing, documentation, and version control
Orchestrate workflows and dependencies using Apache Airflow
Integrate and support marketing data pipelines, including Adobe Campaign and related marketing technologies
Partner with Data Analysts, Data Scientists, Marketing teams, and business stakeholders to deliver reliable, scalable solutions
Ensure data quality, lineage, and observability through monitoring, validation, and alerting frameworks
Mentor junior engineers and contribute to engineering standards, architecture discussions, and best practices
Continuously evaluate opportunities to improve scalability, performance, and reliability across the data ecosystem