Key skills
PythonSQLdbtApache AirflowData WarehousingETL/ELT PatternsData Pipeline OrchestrationData EngineeringAnalytics EngineeringCI/CD PipelinesData Infrastructure as CodeETLELTAnalyticsBIAirflowCI/CDMentoring
About this role
Chobani is a food maker with a mission of making high-quality and nutritious food accessible to more people. The Staff Data Engineer is responsible for building, maintaining, and improving data pipelines and analytics-ready data models that support business reporting and decision-making.
Responsibilities:
- Design, build and maintain scalable data pipelines and orchestration workflows using Airflow and modern data stack technologies
- Develop and optimize data ingestion processes from diverse sources to support analytics and business applications
- Develop and maintain analytics engineering workflows using dbt, SQL, and Python to transform raw data into analytics-ready models
- Partner with analytics, BI and IT to perform code reviews, establishing best practices, and mentoring junior engineers on data DevOps principles and tooling
- Collaborate with analytics and BI teams to understand requirements and deliver robust data solutions
- Monitor pipeline performance, data quality metrics, and system health while implementing proactive improvements
- Manage data infrastructure as code, CI/CD pipelines, and deployment automation for data applications within established team standards
- Document technical specifications, architectural decisions, to ensure knowledge sharing and maintainability
Requirements:
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience
- 5+ years of experience in data engineering, analytics engineering, or DevOps roles with demonstrated progression in technical complexity
- Strong proficiency in Python for data processing, automation, and application development
- Expert-level SQL skills and hands-on experience with dbt for analytics engineering
- Experience with workflow orchestration tools, preferably Apache Airflow, for managing complex data pipelines
- Strong understanding of data warehousing concepts, ETL/ELT patterns, and modern data stack technologies
- Proven ability to work collaboratively with cross-functional teams and translate business requirements into technical solutions
- Excellent problem-solving skills with a track record of troubleshooting complex data issues and implementing scalable solutions
- Commitment to continuous learning, staying current with emerging data technologies, and sharing knowledge with the team