Senior Data Engineer

What you'll do

• Own core SQL and Python data pipelines that power the data lake and data warehouse.
• Design and build datasets with a focus on data quality, performance, and usage principles.
• Orchestrate data pipelines using tools like DBT, Airflow, and Redshift.
• Develop and maintain well-documented data with defined quality, uptime, and usefulness.
• Lead key data engineering projects that drive cross-company collaboration.
• Create proof-of-concepts that balance technical advancement with user experience and adoption.
• Manage, deploy, and improve low-level data infrastructure.
• Advocate for the adoption of industry-standard tools and best practices.

What we're looking for

• 4+ years of dedicated data engineering experience solving complex data pipeline issues at scale.
• Experience building data models and pipelines on large datasets ranging from 500TB to petabytes.
• Proficiency with SQL and modern data orchestration tools like DBT, Mode, and Airflow.
• Experience working with performant warehouses and data lakes such as Snowflake and Databricks.
• Experience building and maintaining batch and real-time pipelines using Spark and Kafka.
• Ability to design and evolve analytics schemas on top of unstructured data.
• Ability to manage, deploy, and improve low-level data infrastructure.
• Experience working with stakeholders to collaboratively develop solutions balancing infrastructure and business needs.