Summary

As a vital member of our data engineering team, you’ll architect and implement robust data infrastructure that transforms raw data into actionable insights. You’ll work on building scalable pipelines and data models that power critical decision-making across the organization. Your expertise will be crucial in establishing data best practices and ensuring data quality, accessibility, and reliability throughout our systems.

What You’ll Do

1. Design & Build: Create and maintain scalable data pipelines, ETL processes, and data warehousing solutions that handle complex data requirements.
2. Optimize & Scale: Improve data infrastructure performance, implement data quality measures, and develop automated monitoring systems.
3. Empower & Enable: Partner with product, engineering and go-to-market teams to deliver data solutions that drive strategic insights.
4. Rapid Response: Quickly address time-sensitive data needs and ad-hoc requests from stakeholders, turning around critical analyses and data solutions with urgency while maintaining accuracy.

What You’ll Bring

1. Expertise: 7+ years of data engineering experience
2. Data Architecture: Deep knowledge of data modeling, warehouse design, and ETL best practices.
3. Technical Mastery: Proficiency with modern data stack (Snowflake, Airflow/DBT) and AWS.
4. Systems Thinking: Experience with distributed systems, data streaming (Kafka/Kinesis), and optimization of large-scale data workflows.
5. Agility: Proven track record of efficiently tackling urgent data requests and providing quick solutions to business-critical data needs.

Skills

• AWS
• Critical Thinking
• Development
• Software Engineering