Staff Data Engineer

Job not on LinkedIn

🔥 16 hours ago

❄️ Minnesota – Remote

❄️ Minnesota – Remote

💵 $130.5k - $205.7k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Chobani

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2005

🛒 Retail

🌍 Social Impact

💰 Debt Financing on 2014-04

Food • Retail • Social Impact

Chobani is a leading food company renowned for its yogurt products, particularly Greek yogurt, which has made it the number one selling brand in the United States. Founded on the principles of craftsmanship and integrity, Chobani focuses on making wholesome products using natural ingredients and prioritizing access to nutritious food for everyone. The company is deeply committed to community engagement and social impact, actively supporting local initiatives and providing resources for employee well-being and inclusion.

📋 Description

• 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

🏖️ Benefits

• 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