Associate Data Engineer (Remote)

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We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, and nutritious foods, earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally.

Today, The Kraft Heinz Company is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food and beverage industry. We are on a journey to create a digitally-powered, agile-enterprise – all while honoring a 150-year heritage and a portfolio of 200 iconic brands. At the heart of this journey is our ambition to create an environment where powerful AI solutions augment humans and where small mission-based teams relentlessly pursue tangible solutions for our consumers, customers, and the enterprise.

That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve our business challenges. You can look forward to high-impact, no bureaucracy, entrepreneurial work – done in small teams – and a unique opportunity to create something bold, something awesome, something inventive -- and something globally impactful.


As an Associate Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling Kraft Heinz to advance data-driven decision-making capabilities across the enterprise.

You will have an understanding of data architecture, data engineering, data analysis, and reporting This will require basic understanding of data science techniques and workflows, as well as the business processes supported by the data pipeline. Examples of problems you will tackle include helping R&D determine the next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:

  • Develop and / or maintain data architecture and pipelines that adhere to ELT principles and business goals
  • Solve data problems to deliver insights that helps our business to achieve their goals
  • Create data products for Business Intelligence Engineers, Business Analyst, and data scientist team members to improve their productivity
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
  • Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
  • Partner with machine learning engineers, business intelligence engineers and solutions architects to develop data engineering solutions.
  • Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
  • Work with the latest data technologies, deep dive on coding and scripting languages, and deploy data-driven solutions on cloud infrastructures


  • 1+ years of experience working in data engineering or architecture role.
  • Experience in ELT and data analysis and experience with SQL and at least one programming language (Python/R preferred)
  • Experience and/or knowledge of CI/CD (continuous integration and continuous deployment) practice using GitHub or Azure repos.
  • Conceptual knowledge of data and analytics, such as dimensional modeling, ELT, reporting tools, data governance, data warehousing, structured and unstructured data.
  • Familiarity with cloud service providers including AWS, Azure, or Google.
  • Familiarity with the Linux operating system
  • Nice to have exposure to BI tools such as Alteryx, Tableau, Power BI, Looker.
  • Nice to have exposure to data warehouses in big data solutions e.g., Snowflake
  • Nice to have exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
  • An agile learner who brings strong problem-solving skills, and enjoys working as part of a technical, cross functional team to solve complex data problems
  • Bachelor’s degree required; Computer Science, MIS, or Engineering preferred or equivalent experience


We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. We’re dedicated To Sustainably Grow by Delighting More Consumers Globally, and what we build today helps bring joy to customers, consumers, and communities around the world tomorrow.  Here at Kraft Heinz, we're not afraid to challenge the status quo.

We are bold. We embrace new ideas. We value diverse perspectives, and we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry.  We are creating the future of food, and we invite you to join us!



Equal Opportunity Employer – minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity

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Technology we use

  • Engineering
    • PythonLanguages
    • RLanguages
    • SqlLanguages
    • ReactLibraries
    • SnowflakeDatabases


We're located in the Aon Center, steps from Millennium Park, the CTA, & great restaurants. Our office boasts 360-degree views of the Loop & the lake.

An Insider's view of The Kraft Heinz Company

What's the biggest problem your team is solving?

Our team is working to bring data and analytics to the forefront of the how we operate to identify continuous improvement opportunities, drive actionable insights, and inform strategic sourcing decisions within the KHC Procurement department.


Product Owner - Digital Procurement

What unique initiatives do you have that encourage innovation?

We are constantly in the pursuit of new ways to Make Life Delicious for our consumers. Digital tools and agile processes are being put in place to enable the quickest flow of our best ideas and data points across the organization.


Head of NA Logistics Capabilities

What's the biggest problem your team is solving?

The biggest problem that the US data and analytics organization is solving is digitally transforming Kraft Heinz. In 2021, the focus for the team is going to be on the digital revolution at Kraft Heinz. We will be plugging in most of the team to focus on the 25 most impact analytics problems at the company.


Head of US Data and Analytics

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