This is a Fully Remote Job
About Our Client:
This organization operates in the consumer packaged goods (CPG) and retail technology sector, addressing challenges related to surplus inventory. It facilitates the sale of excess inventory from major CPG brands to value channel retailers and wholesalers, recovering value for brands, reducing waste, and creating savings for consumers. The company is developing marketplace infrastructure and AI-native products to improve efficiency and scale in the CPG supply chain.
About the Opportunity:
The SENIOR DATA ENGINEER will lead the development and ownership of the data infrastructure that supports the organization's platform. This role is critical for enabling reliable, accessible data that powers decision intelligence, AI-driven pricing, demand matching, and customer analytics. The position involves technical leadership, close collaboration with Data and Product teams, and setting standards for data infrastructure quality and integration of AI tools.
Responsibilities:
Architect, build, and maintain scalable data infrastructure for marketplace transactions
Own and ensure accuracy of analytical schemas in the data warehouse for internal and customer use
Define and enforce data quality standards with monitoring and testing
Document architectural decisions and support AI/ML product applications
Produce high-quality code in pipeline logic, SQL, and data modeling
Conduct code reviews to improve team practices
Troubleshoot and resolve data issues promptly
Share support duties to maintain platform reliability
Lead projects from design through production and iteration
Collaborate cross-functionally to align data systems with organizational needs
Identify and advocate for data infrastructure improvements
Contribute to technical architecture and engineering discussions
Requirements:
5–8+ years experience in data engineering, preferably in B2B SaaS, marketplace, or data product companies
Expertise with modern data stack tools including pipeline tooling (Estuary), workflow orchestration (Astronomer Airflow), transformations (dbt), and BI tools with semantic layers (Holistics)
Strong SQL and data modeling skills
Experience with end-to-end data quality management and observability
Proficiency in integrating AI tools into development workflows
Proven accountability for delivering complete data systems and projects
Ability to collaborate effectively with technical and non-technical stakeholders
Preferred experience includes marketplace or transaction data, AI/ML pipelines, customer-facing analytics, and CPG domain knowledge
Pay Range and Compensation Package:
The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.
Equal Opportunity Statement:
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.