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Sr. Data Engineer- Animal Health Nutrition

Cargill


Job Location:

Wayzata, MN - USA

Monthly Salary: $ 107000 - 160000
Posted: 22 August 2026 (16 days ago)
Application Deadline: 19 November 2026
Vacancies: 1 Vacancy

Job Summary

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe responsible and sustainable way. Sitting at the heart of the supply chain we partner with farmers and customers to source make and deliver products that are vital for living.
Our 155000 team members innovate with purpose providing customers with lifes essentials so businesses can grow communities prosper and consumers live well. With over 160 years of experience as a family company we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thingtoday and for generations to come.

Job Purpose and Impact

The Senior Data Engineer job designs builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision this job ensures that large sets of data are efficiently processed and made accessible for decision making.

Key Accountabilities
  • DATA INFRASTRUCTURE: Prepares data infrastructure to support the efficient storage and retrieval of data.
  • DATA FORMATS: Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.
  • DATA & ANALYTICAL SOLUTIONS: Develops complex data products and solutions using advanced engineering and cloud based technologies ensuring they are designed and built to be scalable sustainable and robust.
  • DATA PIPELINES: Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources transform the data into information and move to data stores like data lake data warehouse and others.
  • DATA SYSTEMS: Reviews existing data systems and architectures to identify areas for improvement and optimization.
  • STAKEHOLDER MANAGEMENT: Collaborates with multi-functional data and advanced analytic teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
  • DATA FRAMEWORKS: Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.
  • AUTOMATED DEPLOYMENT PIPELINES: Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.
  • DATA MODELING: Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.
Qualifications

Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Preferred Qualifications:

  • CLOUD ENVIRONMENTS: Experience developing data systems on major cloud platforms (AWS GCP Azure).
  • DATA ARCHITECTURE: Hands-on experience building modern data architectures including data lakes datalakehouses and data hubs along with related capabilities such as ingestion governance modeling and observability.
  • DATA INGESTION:Demonstratedproficiencyin data collection ingestion tools (Kafka AWS Glue) and storage formats (Iceberg Parquet).
  • DATA STREAMING: Experience developing data pipelines with streaming architectures and tools (Kafka Flink).
  • DATA MODELING:Expertisein data transformation and modeling using SQL-based frameworks and orchestration tools (dbt AWS Glue Airflow). Deep experience with modeling concepts like SCD and schema evolution.
  • DATA TRANSFORMATION: Strongbackground withusing Spark for data transformation including streaming performance tuning and debugging with Spark UI.
  • PROGRAMMING: Advanced programming skills in Python Java Scala or similar languages. Expert-levelproficiencyin SQL for data manipulation and optimization.
  • DEVOPS:Demonstratedexperience in DevOps practices including code management CI/CD and deployment strategies.
  • DATA GOVERNANCE: Strong background in data governance principles including data quality privacy and security considerations for data product development and consumption.
  • Previous Cargill experience or experience with Animal Health Nutrition

The business will not sponsor work visas for applicants for this position.

Additional Applicant Information

The expected salary for this position is $00. Compensation varies depending on a wide array of factors including but not limited to the specific location certifications education and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked up to 48 hours per calendar year unless otherwise provided by law.

#LI-NS7

Equal Opportunity Employer including Disability/Vet.


Required Experience:

Senior IC


About Company

Cargill, Incorporated is an American privately held global corporation based in Minnetonka, Minnesota, and incorporated in Wilmington, Delaware. Founded in 1865, it is the largest privately held corporation in the United States in terms of revenue.

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