Senior Data Engineer

We’re looking for a Senior Data Engineer II to help expand our data engineering capabilities. In this hands-on role, you’ll contribute to the evolution of our data platform—building and improving the systems that power internal analytics and customer-facing intelligence. You’ll collaborate with product, engineering, and analytics teams to ensure data is structured, secure, and ready to support our growth. 

This is an opportunity to join a foundational team and build scalable pipelines, data platform capabilities, and infrastructure that enable trusted insights. Your work will support both operational reporting and product analytics, while contributing to a growing data function. 
Teamwork and shared enthusiasm is a core part of our culture, which is why this role involves joining us in the Boston office for two days each week

What You’ll Do:

Platform & Infrastructure 

• Contribute to Data Platform Evolution – Help build and scale a robust, flexible platform that enables analytics and data-driven experiences across our products.
• Build Scalable Data Infrastructure – Develop reliable systems to ingest, transform, store, and serve data using batch and near real-time approaches.
• Deliver Trusted Data Pipelines – Build and maintain resilient, observable pipelines that connect APIs, databases, and event streams across internal and customer-facing use cases.
• Support Data Quality & Observability – Help advance practices in validation, monitoring, and governance to ensure high-quality and trustworthy data systems. 

Enablement & Collaboration 

• Partner Across Teams – Work closely with analytics, product, and engineering to ensure data pipelines are structured, governed, and optimized to support key use cases.
• Contribute to Shared Data Models – Collaborate on well-documented, maintainable data models that meet the needs of multiple teams and stakeholders. 

Team & Technical Growth 

• Mentor and Contribute to Engineering Culture – Share best practices, contribute to standards, and support a collaborative, high-quality data engineering discipline.
• Explore and Introduce New Tools – Help evaluate new technologies and contribute to the evolution of our platform as our needs grow. 

What We’re Looking For:

• Data Engineering Experience – 5+ years of experience building data systems, including hands-on work with data modeling, ETL/ELT pipelines, and SQL performance tuning.
• Strong AWS Foundation – Familiarity with AWS services including Aurora, S3, Lambda, and Terraform. You know your way around the ecosystem and can apply these tools pragmatically.
• Modern Data Stack Familiarity – Experience with tools such as Airflow, dbt, and Redshift or Snowflake for transformation and orchestration.
• Code-First Data Engineering – Comfort writing pipelines and workflows in Python or similar languages. You see data engineering as software engineering.
• Focus on Security and Governance – Experience working with sensitive data, implementing role-based access control, and ensuring data privacy and auditability.
• Collaborative Approach – Ability to work closely with cross-functional partners and translate ambiguous problems into clear engineering solutions.
• Bonus Experience
  • Experience supporting or building analytics platforms for end users or product-facing features.
  • Exposure to streaming or real-time data pipelines.
  • Familiarity with dbt for transformation logic and data modeling.