Job Description: Senior Data Engineer

Location: Boston, MA (Hybrid, 3x/week onsite)
Department: Technology
Reports To: Data Engineering Manager

Position Summary

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.

What You'll Do

As a Senior Data Engineer, you will:

• 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

Qualifications

Experience & Technical Skills

• 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

Ways of Working

• 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

We bring together human insight and digital expertise to anticipate the needs of our customers. Our team members are innovative, technologically sophisticated, and motivated to achieve.

Total Rewards

The base salary range for this role is $140,000–$150,000 annually for employees based in Boston, MA. Final compensation may vary and will be determined based on factors such as relevant experience, skills, internal equity, and geographic location. In addition to base pay, this role is eligible for an annual incentive bonus and first-class benefits, which include:

Health & wellness: Comprehensive and heav