About the Company: Our client is pioneering the development of an advanced marketing intelligence platform for growth. With a focus on attribution modeling technology and customizable dashboards, our client provides a unified view of e-commerce business data, trusted by leading brands in the industry.

About the Role: As a Staff Data Engineer with our client, you'll collaborate with cross-functional teams to build, maintain, and scale data pipelines crucial for powering our product offerings. This role delves into the intricate realm of marketing attribution for the direct-to-consumer (DTC) space, involving the creation, maintenance, and enhancement of complex transformation networks across various ad platforms and order management systems.

Responsibilities:

• Collaborate with product managers, engineers, and leadership to develop products addressing high-value customer needs.
• Enhance the functionality of large-scale data processing systems underpinning marketing attribution algorithms by integrating diverse data sources.
• Devise innovative solutions for handling diverse data types from multiple sources in a sustainable manner.
• Design, implement, and scale customer-facing APIs to facilitate faster data onboarding.
• Develop and maintain data models and transformations to accelerate product development.
• Establish best practices, frameworks, and processes for measuring system impact.
• Mentor junior engineers, fostering organizational growth while upholding high standards of excellence.

Requirements:

• Proficiency in Python, SQL, and Linux/UNIX environments.
• Six to eight years of experience, ideally in a startup environment.
• Solid grasp of database engines, cloud infrastructure, and observability tools.
• Experience with building batch data processing pipelines for large-scale analytics.
• Strong collaboration skills across technical and non-technical teams.

Preferred Qualifications:

• Previous experience in marketing, e-commerce, ad-tech, or enterprise SaaS.
• Familiarity with real-time data processing pipelines.
• Experience with external APIs and relevant technologies such as BigQuery, Airflow, dbt, and Apache Beam.

Values: Our client's values are centered around continuous learning, customer satisfaction, ownership mentality, and transparent communication.

Benefits:

• Equity package
• Competitive base salary
• Healthcare benefits (medical, dental, vision)
• Travel opportunities
• Flexible PTO policy
• Company-paid holidays