This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We are looking for a Senior Data Engineer who is a hands-on problem solver who balances velocity with reliability in fast-paced environments. With excellent cross-functional communication skills, you can translate seamlessly between engineering and business stakeholders. You're passionate about data governance and building reliable, high-performance data systems. You thrive in collaborative settings, working alongside ML engineers, backend teams, and business partners to ensure data accuracy, performance, and security across the organization.

• This role will assign the data engineering efforts for the User Platform (CDP) and Recommendation Engine, ensuring data accuracy, performance, data alignment, and security across pipelines connecting Snowflake, Postgres, Kafka, and API Gateway services.
• You’ll collaborate with ML engineers, backend teams, and business stakeholders to build reliable, high-performance data systems that support insights, automation, and machine learning use cases.
• This role will lead the data governance best practices and communication across the organization.

Qualifications

• 3-8 years of experience in Data Engineering, with data governance responsibilities.
• SQL and Python skills, with proven experience building ETL/ELT at scale.
• Understanding of Snowflake performance tuning, query optimization, and warehouse orchestration.
• Understanding of data modeling (Kimball, Data Vault, or hybrid).
• Familiarity with API-based data integration and microservice architectures.
• Excellent cross-functional communication — can translate between engineering and business.
• Hands-on problem solver who balances velocity with reliability.

Requirements

• $120,000 - $170,000 a year.

Benefits

• 100% company-paid medical, dental, and vision plans.
• Unlimited Flexible Time Off.
• A personalized career roadmap for each employee.
• Investment in professional development through training and educational opportunities.
• A supportive environment prioritizing the physical, mental, and emotional well-being of employees and their families.