Pattern
Senior Data Engineer
Lehi, UT, US · Hybrid · Senior · Full-time · Posted May 6, 2026
- Experience
- 7+ years data engineering; 5+ years SQL; 4+ years Python; 3+ years large-scale data warehouses.
- Education
- Bachelor’s degree in Computer Science, Data Science, or a related technical field (or equivalent experience).
About the job
Architects and builds large-scale data infrastructure and pipelines that power Pattern’s AI models and global ecommerce marketplace strategies.
What you'll do
- Design and implement ETL/ELT pipelines, data orchestration, and dimensional models.
- Ingest and harmonize marketplace data and build reliable infrastructure-as-code and containerized workflows.
- Lead data-platform optimizations and technical initiatives; collaborate across engineering and product teams.
What they ask for
- Bachelor’s degree in Computer Science, Data Science, or a related technical field, or equivalent experience.
- 7+ years of professional data engineering experience focused on ETL/ELT and data modeling.
- 5+ years of expert-level SQL and 4+ years of Python development for data pipelines and tooling.
- 3+ years building or optimizing large-scale data warehouses; proficiency with Apache Spark, Trino, Kafka, and Debezium.
Nice to have
- Expertise in AWS services (Terraform, EKS, Lambda).
- Experience with Apache Iceberg or Delta Lake, or real-time streaming (Kafka/Kinesis).
Tools
Airflow, DBT, Python, SQL, Snowflake, BigQuery, Redshift, Apache Spark
AI focus
Builds data infrastructure and pipelines that provide fuel for AI models; the role also involves leveraging AI to optimize processes and workflows.
Model-written summary · the original posting is authoritative