Cargill · 19 hours ago
Sr. Data Engineer - Global Impact
Cargill is a family company providing food, ingredients, agricultural solutions, and industrial products that are vital for living. The Senior Professional, Data Engineering job involves designing, building, and maintaining complex data systems to enable data analysis and reporting, ensuring efficient processing of large data sets for decision making.
AgricultureFood and BeverageFood ProcessingManufacturingMeat and Poultry
Responsibilities
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, transforms 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 with the datastore technology to ensure sustainable performance and accessibility
Qualification
Required
Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience
Preferred
Working experience in Python, Shell Scripting and SQL
Working experience in Data Warehousing Solutions
Working experience in Cloud Platforms, especially AWS
Working experience in Big Data Platforms
Working experience in Data Pipeline Frameworks
Working experience in ETL Tools
Collaborating in agile product teams involving large volumes of complex data
Benefits
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.
This position is eligible for a discretionary incentive award.
Company
Cargill
Cargill provides agricultural, food, bioindustrial, and risk management solutions across global supply chains and manufacturing sectors.
H1B Sponsorship
Cargill has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (25)
2024 (25)
2023 (29)
2022 (31)
2021 (26)
2020 (41)
Funding
Current Stage
Late StageTotal Funding
$0.02MKey Investors
National Safety Council
2025-06-25Grant· $0.02M
Recent News
2026-01-22
Business Wire
2026-01-20
Morningstar.com
2026-01-16
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