As an early data engineering hire on our growth team, you'll play a pivotal role in building the data foundation that drives our product's expansion. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Working closely with growth engineers, data analysts, and adoption specialists, you'll develop the infrastructure that powers our experimentation and decision-making processes. 

In this role, you'll have the unique opportunity to: 

• Shape our data engineering practices and establish best practices for our growing team 

• Design and implement robust data pipelines that enable rapid experimentation and insights 

• Build sophisticated A/B testing frameworks that help us make data-driven product decisions 

• Collaborate with cross-functional teams to understand their data needs and deliver scalable solutions 

As part of a global organization, you'll have access to extensive resources and expertise while maintaining the autonomy to define and implement data engineering best practices for our growth initiatives. This position offers the perfect balance of entrepreneurial freedom and enterprise-level support to make a lasting impact on our product's success. 

Examples of what you might Explore 

• Create data pipeline architecture - Maintain and develop data pipelines for extraction, transformation, cleaning, pre-processing, aggregation, and loading of data from diverse sources using Python, SQL, DBT, and other relevant technologies. 

• Contribute to growth tooling – Work with web landing pages alongside product code, implement A/B testing frameworks, and build data tracking infrastructure. You might integrate tools like Intercom or similar customer engagement platforms. 

• Develop insightful user profiles – Create systems to capture meaningful user information early in their journey, enabling personalized recommendations and timely support. 

• Build scalable and accessible datasets - Collaborate closely with data analysts to create reliable, well-documented data models that power our analytics. 

• Partner with data consumers - Work alongside analytics teams to build tools that support business intelligence and drive product innovation. 

Desired Profile  

• Entrepreneurial spirit - Brings a proactive, adaptable approach to experimenting and problem-solving in an evolving growth environment  

• Autonomous mindset - Thrives in taking ownership and driving initiatives independently  

• Collaborative approach - Enables co-workers through knowledge sharing and mentorship  

• Technical expertise:  

• Strong expertise with modern technology and data stacks (e.g., Python, JavaScript, SQL) 

• Experience with modern data warehouse platforms (e.g., Snowflake) 

• Familiarity with data transformation tools (e.g., dbt) 

• Experience with workflow orchestration (e.g., Airflow) 

• Knowledge of BI tools (e.g., Looker, Power BI) and cloud services (AWS preferred) 

You should apply even if you don't feel that your credentials 100% match the position description - we are looking for relevant skills and attributes, not a checklist of experience that exactly matches the position itself.