Data Engineer

THE PAPER STORE • Acton, MA

1d • Hybrid

About The Position

TPS Group Holdings, a family of brands including The Paper Store, Uncharted and Gifts & More, is all about transforming daily routines into joyful escapes that inspire and surprise. Our mission is to connect with every customer through carefully chosen products, immersive shopping experiences, and service that goes the extra mile—creating a space that sparks joy with every visit.

Position Overview: We are seeking an experienced Data Engineer to own and optimize end-to-end data pipeline operations across our Snowflake data warehouse environment. This is a highly technical, hands-on role focused on building, maintaining, and scaling production-grade ETL pipelines. Direct experience with Matillion, SSIS, and Snowflake is required. This role is best suited for engineers who have built and supported enterprise data pipelines in these platforms and are comfortable working in a production environment. You will be responsible for ensuring operational visibility, data quality, and the overall robustness of our data ecosystem. This is not a general analytics or BI role — it requires deep ETL engineering expertise.

Requirements

• 5+ years of hands-on Data Engineering experience
• Strong SQL expertise (complex queries, optimization, performance tuning)
• Proven experience building ETL pipelines using Matillion
• Proven experience developing ETL processes in SSIS
• Direct experience working with Snowflake data warehouse
• Strong understanding of data modeling and data warehousing architecture
• Ability to work 3+ days/week at the Corporate Office in Acton, MA.

Responsibilities

• Be a TPS Brand Ambassador. Contribute to the TPS commitment of fostering a positive culture by encouraging open communication, and maintaining confidential information as required
• Design, develop, and maintain production-grade ETL pipelines in Matillion and SSIS
• Build and optimize data models within Snowflake
• Ensure operational visibility, monitoring, and data quality controls
• Integrate new data sources into enterprise data pipelines
• Improve performance, scalability, and robustness of existing data infrastructure
• Partner with cross-functional teams to support data governance initiative

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed