Data Engineer

Who we are

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.

Timeframe: Summer (May-Aug 2027)

AtSymbotic, Early Career talent plays a meaningful role in helping us reimagine the future of supply chain automation. Through our Internship and Co-op programs, studentshave the opportunity tocontribute to real projects, collaborate with experienced engineers and business leaders, and gain hands-on exposure to the technologies powering our end-to-end robotics and automation solutions. We are looking for curious, motivated students who are excited to solve complex problems, bring new perspectives to cross-functional teams, and see their work make an impact in a fast-moving, innovative environment.

Along the way, Interns and Co-ops are supported through mentorship, professional development, networking opportunities, and a robust calendar of events designed to help them build community and grow their careers.Symboticoffers transportation and housing benefits for students who meet our relocation requirements.

Continue reading below to learn more about this exciting opportunity!

Whatyou’lldo:

• Help build and scale the core insights function to better support data, analytics, and reporting needs for new projects, while contributing to Data Governance initiatives.

• Write andoptimizeSQL queries to manage and manipulate data within the Snowflake database.

• Use Python to flatten and transform database data for downstream processing.

• Create andmaintaindata visualizations and dashboards in Qlik Sense and Tableau.

• Collaborate with team members to manage code through GitLab, including pushing and pulling code for version control.

• Document processes, workflows, and key insights.

• Develop data preprocessing pipelines to improve model robustness and efficiency.

• Build and refine predictive models to drive data-driven decision-making.

• Work with Data Engineering to automate data workflows and ensure real-time insight.

Whatyou’llneed:

• Pursuing a degree in Data Analytics, Computer Science, Machine Learning, or similar field.

• Familiarity with SQL, preferably with experience in Snowflake.

• Basic knowledge of Python, with a focus on data manipulation.

• Experience or interest in data visualization tools like QlikSense,Tableau.

• Understanding ofGitLab for version control and collaboration.

Our Environment

• Up to 10% of travel may berequired. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.

• The employeeis responsible forowning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That’s why we’re proud to be an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.