Job Description
We're looking for a Data Engineer to design, build, and maintain the data infrastructure that powers our analytics and AI products. You will create scalable pipelines, optimize data flows, and ensure high-quality data is available for business intelligence and machine learning teams.
Your work will involve architecting data solutions on cloud platforms, implementing ETL/ELT processes, and collaborating with data scientists and product teams. You'll be responsible for data reliability, performance optimization, and ensuring our data architecture supports rapid growth and evolving business needs.
This role is ideal for someone who thrives on solving complex data challenges and enjoys building systems that enable data-driven decision-making across the organization.
What you'll bring
As a Data Engineer, you'll be responsible for building robust, scalable data pipelines and ensuring data quality across our systems. You should be comfortable working with large-scale data, optimizing performance, and collaborating with cross-functional teams.
- 4–6 years of experience in data engineering or related roles.
- Strong proficiency in Python, SQL, and data pipeline frameworks.
- Experience with Apache Spark, dbt, Airflow, or similar tools.
- Knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift).
- Understanding of data modeling (star schema, dimensional modeling).
- Experience with real-time streaming (Kafka, Kinesis).
- Strong problem-solving and communication skills.
Benefits
We believe great data infrastructure enables great products. Along with competitive compensation, you'll have access to cutting-edge tools, learning opportunities, and a team that values technical excellence.
- Competitive salary + annual performance bonus.
- Remote-friendly with flexible schedule.
- Health, dental, and vision coverage.
- Learning budget for certifications and conferences.
- Career growth toward Staff Data Engineer or Data Platform Lead.