Senior Data Engineer
About the role
Pattern is seeking a Senior Data Engineer to join our dynamic and growing team. This role is ideal for a high-impact, "Game Changer" who thrives in a fast-paced, elite engineering environment.
Responsibilities
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.
Requirements
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, BigQuery, 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.
Qualifications
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, BigQuery, 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.
Skills
Expertise in AWS services (Terraform, EKS, Lambda).
Experience with Apache Iceberg or Delta Lake.
Background in real-time streaming (Kafka/Kinesis).
Benefits
Unlimited PTO
Paid holidays
Onsite fitness center
Company-paid life insurance
Casual dress code
Competitive pay
Health, vision, and dental insurance
401(k) match
Pay
Competitive salary commensurate with experience.
Schedule
Full-time position.