Staff Data Engineer

Chobani

Staff Data Engineer at Chobani, responsible for building data pipelines and analytics models. Collaborating with cross-functional teams to deliver robust solutions for business reporting.

Posted 6/29/2026full-timeRemote • Minnesota • 🇺🇸 United StatesLead💰 $130,500 - $205,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines using Airflow, Python, and SQL, while optimizing data ingestion processes and collaborating with cross-functional teams to deliver effective data solutions. Proficient in analytics engineering with dbt and committed to continuous learning in emerging data technologies.

Highest-signal resume keywords

Data Pipeline DevelopmentPython ProficiencySQL ExpertiseApache Airflow ExperienceAnalytics Engineering with dbt

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringETL/ELT PatternsData Warehousing ConceptsData ProcessingAutomationApplication DevelopmentData Quality MonitoringTroubleshootingDocumentation

Soft Skills

Problem-SolvingCollaborationMentoringCommunicationContinuous Learning

Tools & Technologies

Apache AirflowDbtSQLPythonCI/CD PipelinesData Infrastructure as Code

Industry Keywords

Data EngineeringAnalyticsBusiness IntelligenceData DevOpsData Solutions

Tech Stack

Tools & technologies

AirflowApacheETLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Medical, dental, vision coverage
Disability insurance
Health savings account
Flexible spending accounts
Tuition reimbursement
401k match of 100% on up to 5% of eligible pay
Fertility and childcare assistance
12 weeks of parental leave at full pay after six months of continuous employment
Wellness resources including employee assistance program, fitness discounts, wellness reimbursement, on-site gym access (certain locations), and a monthly wellness newsletter
120 hours of paid time off
11 holidays
Paid volunteer time off