Senior Data Engineer

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.

Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, , , eBay, Tmall, Tik Tok Shop, JD, and Mercado Libre.

To learn more, visit  or email

Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting and building the very foundation of Pattern's data-driven future. You will tackle massive, petabyte-scale challenges, transforming raw data into high-octane fuel for our AI models and global marketplace strategies. This is your chance to lead high-stakes technical initiatives that directly accelerate growth for hundreds of global brands in a fast-paced, elite engineering environment.

• Designing and implementing robust ETL/ELT pipelines using Airflow, DBT, and cloud-native architectures.
• Writing sophisticated, production-grade Python code to automate data orchestration and processing.
• Building/optimizing complex SQL queries and dimensional models for OLAP and OLTP based systems.
• Collaborating with cross-functional teams to ingest and harmonize data from dozens of global marketplaces.
• Building and maintaining infrastructure-as-code and containerized workflows to ensure platform reliability.
• Leveraging AI thoughtfully to optimize processes and workflows.

• Bachelor’s degree in Computer Science, Data Science, or a related technical field (or equivalent experience).
• 7+ years of professional data engineering experience with a heavy focus on ETL/ELT and data modeling.
• 5+ years of expert-level SQL mastery, including window functions, CTEs, and deep performance tuning.
• 4+ years of professional Python development specifically tailored for data pipelines and tooling.
• 3+ years of hands-on experience building/optimizing large-scale data warehouses like Snowflake, Big Query, or Redshift.
• Proficiency with open-source frameworks such as Apache Spark, Trino, Kafka, and Debezium.
• A "Data Fanatic" mindset with experience handling petabyte-scale diverse datasets.

• Successfully executing the migration or optimization of massive data streams with zero downtime.
• Consistently delivering clean, well-documented, and high-quality code that sets the standard for the engineering team.
• Acting as a 'Doer' by taking the initiative to resolve platform bottlenecks before they impact partners.
• Elevating the technical bar of the team through mentorship and the introduction of innovative engineering practices.

• Opportunity to lead major architectural shifts within a rapidly expanding global tech company.
• Regular networking and collaboration with high-level technical leadership and AI experts.
• Upward mobility toward Staff Data Engineer or specialized technical leadership roles.
• Continuous learning opportunities with cutting-edge technologies like Apache Iceberg and real-time streaming architectures.

• 30 Days: Complete onboarding, gain a deep understanding of current data architectures, and begin contributing to existing projects.
• 60 Days: Identif…