Data Engineer

The Staff Data Engineer is responsible for building, maintaining and improving data pipelines, orchestrating workflows, and analytics‑ready data models that support business reporting and decision making. This role ensures reliable data ingestion, transformation and delivery while partnering with analytics, business intelligence and IT. They will also interface with cross‑functional stakeholders to translate business needs into scalable technical solutions.

• 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 Dev Ops 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

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience
• 5+ years of experience in data engineering, analytics engineering, or Dev Ops 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

The salary range for this full‑time position is $ - $, plus bonus, equity and benefits. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401(k) match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment.

In addition, we provide wellness resources, which include an employee assistance program, fitness discounts, a wellness reimbursement, on‑site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time off including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Chobani is an equal‑opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws.