Senior Data Engineer
Core
Build and scale reliable data infrastructure and automate data engineering workflows for a large-scale e-commerce and digital platform.
Role type
Senior individual contributor data engineer (AI-native tooling)
Builds
High-performance data pipelines, agentic systems for workflow automation, and machine learning pipelines
Domain
E-commerce, digital platforms, cloud data infrastructure
Deliverable
production ML models
Required skills
Python, Airflow, dbt, AWS (EC2, S3, Lambda, EKS), Snowflake, production-grade data engineering, AI/LLM systems (RAG, agentic workflows)
Preferred skills
Systems thinking, automation of repetitive engineering tasks, AI tool usage for productivity
Technologies
Snowflake, Airflow, dbt, AWS, Python (via careerplan.io/jobs/9b269c30-86e2-4d6a-80dd-f80e8fd2f413-senior-data-engineer-at-jobgether)
Responsibilities
Build and scale data pipelines for ingestion into Snowflake; Design agentic systems to automate data engineering workflows; Build and maintain machine learning pipelines for model operationalization; Implement data monitoring across multi-system user journeys; Collaborate on data modeling and shared data asset reliability; Partner with product and data science teams to deliver end-to-end data solutions
Seniority
Senior, hands-on IC
