Data Engineer 2
Core
Build and maintain data pipelines for structured and unstructured data supporting reporting, analytics, and AI/ML use cases.
Role type
Mid-level data engineer
Builds
Data pipelines, AI tooling, and automation for reporting and analytics
Domain
Pet food / Direct-to-consumer / Data infrastructure
Deliverable
production ML models
Required skills
Python, SQL, REST APIs, ETL/ELT, data orchestration (Airflow/DBT), data governance, monitoring/alerting
Preferred skills
AI/ML workflows and tooling, data preparation for machine learning
Technologies
Python, SQL, Airflow, DBT, REST APIs
Responsibilities
Build and maintain data pipelines for structured and unstructured data; Write production-level code processing millions of events; Develop AI tooling and automation; Ingest data from APIs, databases, and streaming platforms; Establish data governance frameworks; Implement monitoring and data quality checks; Support production data systems and resolve incidents.
Seniority
Mid-level (2-4 years experience)