Senior Data Engineer

The Opportunity

We are looking for a Senior Data Engineer to join our Data Platform team and build the core data foundations that power analytics, experimentation, and decision-making across the company. In this role, you will design and own foundational data models, pipelines, and platforms that enable self-serve analytics and trustworthy insights at scale.

You will partner closely with Growth, Product, Sales, Marketing, Data Insights, and Engineering teams as a technical thought leader who helps teams extract meaningful value from data. This is a high-ownership role in a growing company, and you will have a direct impact on how data is collected, modeled, and used to drive the business forward.

Your Impact

• Build and own foundational data models that enable self-serve analytics and key business metrics
• Design, operate, and scale reliable data pipelines and platforms
• Partner with stakeholders to translate business needs into trusted data products
• Influence data collection and logging standards across production systems
• Establish best practices for data modeling, quality, and governance
• Implement data quality checks, statistical validation, and anomaly detection
• Provide technical leadership that improves data reliability and data literacy

We're looking for someone who

• Has 5+ years of experience in data engineering
• Has a Bachelor's degree in Computer Science or equivalent experience
• Is highly hands-on, actively contributing code and driving projects to completion.
• Has strong programming skills in Python and SQL
• Has expertise with cloud data warehouses such as Snowflake, BigQuery, or Databricks
• Has experience building and maintaining ETL/ELT pipelines
• Is experienced with workflow orchestration (e.g., Airflow, dbt)
• Has strong data modeling skills and understands how to design for analytical workloads
• Has experience with cloud platforms (preferably AWS)
• Has worked in fast-paced tech, AI or SaaS environments