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The Paper Store

Data Engineer

The Paper Store, Acton, Massachusetts, us, 01720

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TPS Group Holdings, a family of brands including The Paper Store and Uncharted, is dedicated to creating destinations that inspire, delight, and surprise. Our mission is to connect with every customer through carefully chosen products, immersive shopping experiences, and service that goes the extra mile.

Data Engineer

As a data engineer, you'll be at the forefront of data infrastructure development. Your data engineering tasks include designing, constructing, installing, and maintaining the systems that allow for the seamless flow, availability, and reliability of data.

The

Data Engineer

reports directly to Executive Director of Technology

COMPETENCIES:

Accountability:

Demonstrates a sense of corporate responsibility. Takes personal ownership and responsibility for the quality and timeliness of work. Ensures that actions are consistent with words. Communication:

Communicates information with consistency and clarity; uses active listening to effectively understand and provide feedback. Adjusts communication style to suit the audience to promote engagement and increase understanding. Creativity and Initiative:

Forward-thinking, recognizes opportunities and finds new ways of doing things and implements improvements whenever possible. Encourages creativity and innovation. Professionalism:

Maintains a professional and positive manner even under changing or uncertain conditions. Works well with a wide range of individuals to provide support, encouragement and direction. Engages others to accomplish organizational and departmental goals. Is seen as a role model. Personal Development:

Displays self-awareness, a high level of energy, persistence and a positive outlook. Continuously seeks ways to improve and learns from mistakes and constructive feedback. KEY RESPONSIBILITIES:

Be a TPS brand ambassador. Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes. Designing and optimizing data storage solutions, including data warehouses and data lakes. Ensuring data quality and integrity through data validation, cleansing, and error handling. Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e.g., for business intelligence). Implementing data security measures and access controls to protect sensitive information. Automating and improving data processes and workflows for scalability and efficiency. Monitoring data infrastructure for performance and reliability to address issues promptly. Keeping abreast of industry trends and emerging technologies in data engineering. Documenting data pipelines, processes, and best practices for knowledge sharing. Participating in data governance and compliance efforts to meet regulatory requirements. Providing technical support and mentoring to junior data engineers, if applicable. Continuously optimizing data architecture to support the company's evolving data needs. Collaborating with cross-functional teams to drive data-driven decision-making within the organization.

JOB REQUIREMENTS:

1+ years of relevant experience Proficiency in data modeling and database management. Strong programming skills (e.g., Python, Java, or SQL). Experience with ETL (Extract, Transform, Load) processes. Familiarity with data warehousing and cloud platforms (e.g., Snowflake). Degrees in computer science or related field. A team player attitude, including willingness to pivot as business needs change and willingness to assist others to meet deadlines. Ability to work 3+ days/week at the Corporate Office in Acton, MA. Professional presentation in attire, demeanor, and appearance.

TPS Group Holdings is an equal-opportunity employer and considers all qualified applicants for employment without regard to race, color, national origin, religion, sex, disability, age, veteran status, or any other classification protected by state, local or federal law.

Relocation is not offered. The role requires five days in-office for initial training, followed by a hybrid schedule of three days in-office each week.