Data Engineer

Role Overview

We are looking for a versatile and motivated Data Engineer with a passion for AI-driven innovation to lay the groundwork for our company-wide data infrastructure. This is a foundational role, ideal for someone eager to help define systems, processes, and tooling from the ground up. The Data Engineer will work cross-functionally with teams across the company—brand management, supply chain, finance, and beyond—to build scalable data pipelines, storage systems, and tools that drive strategic decision-making and operational efficiency.

Key Responsibilities

• Design, implement, and maintain robust databases and data pipelines (ETL/ELT).
• Develop systems to centralize data from a wide array of internal and external sources (e.g., Amazon Seller Central API, advertising platforms, supply chain systems).
• Architect and maintain data infrastructure, ensuring reliability and scalability.
• Drive AI and machine learning implementations across business functions—from forecasting and pricing to internal automation.
• Build and maintain internal tools that make data accessible, actionable, and easy-to-understand for non-technical users.
• Collaborate with stakeholders to understand business needs and translate them into data solutions.

Qualifications

• 3+ years of experience in data engineering, with proven experience setting up data infrastructure and internal tools across an organization.
• Hands-on experience with ETL processes and pipeline orchestration (e.g., Airflow, Prefect, or similar).
• Proficiency in a data-centric programming language, as it relates to manipulating data, calling APIs, and implementing AI/ML models (e.g., Python).
• Strong experience with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
• Solid understanding of data architecture best practices (e.g., data lakes, warehouses).
• Experience in setting up dashboards and reporting using simple spreadsheets, as well as specialized BI tools.
• Demonstrated interest and experience in implementing AI/ML solutions in business contexts (e.g., TensorFlow or PyTorch).
• Ability to learn and adapt to the Amazon eCommerce ecosystem and tools.
• Comfortable working independently in a remote, asynchronous environment.
• Knowledge of cloud platforms (e.g., AWS, GCP) and their data services.

Why Join Us?

• Work in a fast-paced, entrepreneurial environment with the autonomy to lead major technical decisions.
• Be a key contributor in building foundational infrastructure and shaping data strategy.
• Join a remote-first culture with teammates around the world.
• Competitive compensation and opportunity for growth.

About Cove Brands

We are a digitally-native consumer brands company with a footprint in over 10 countries across Amazon, D2C, and retail. We combine our passion for great products and operational excellence to profitably scale brands in Beauty, Wellness, and Home. Our team makes quality products accessible to everyone – without compromise – and believes in the power of ownership, drive, and collaboration to propel the company to success.

Cove Brands is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture and celebrating authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status or any other legally protected characteristics.