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Reimagining what's possible for food and agriculture
The Role
The Principal Data Engineer will lead the design and development of data systems, pipelines, and frameworks while ensuring data availability for analysis. They will collaborate with stakeholders and manage data infrastructure efficiently.
Summary Generated by Built In
Job Purpose and Impact
The Principal, Data Engineering job provides thought leadership in the execution of strategic plans related to design, development and maintenance of robust data systems. As a recognized subject matter expert in the field, this job leads the development of efficient processing and availability of data for analysis and reporting.
Key Accountabilities
Qualifications
PREFERRED QUALIFICATIONS
#HiPo
The Principal, Data Engineering job provides thought leadership in the execution of strategic plans related to design, development and maintenance of robust data systems. As a recognized subject matter expert in the field, this job leads the development of efficient processing and availability of data for analysis and reporting.
Key Accountabilities
- DATA PIPELINES: Provides thought leadership on the design and development of data pipelines that facilitate the movement of data from various sources to internal databases.
- DATA INFRASTRUCTURE: Influences the construction and optimization of data infrastructure, providing appropriate data formats to ensure data readiness for analysis.
- DATA FORMATS: Examines and sees improvement opportunities for appropriate data formats to optimize data usability and accessibility across the organization.
- STAKEHOLDER MANAGEMENT: Cultivates positive relationships and partners to understand data needs and encourage alignment with organizational objectives.
- DATA SYSTEMS: Develops and guides the implementation of data products and solutions using advanced engineering and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable, and robust.
- SOLUTIONS DEVELOPMENT: Leads efforts to improve the development of technical products and solutions driving big data and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable, and robust.
- DATA FRAMEWORKS: Drives development standards and brings forward prototypes to test new data framework concepts and architecture patterns supporting efficient data processing and analysis and promoting standard methodologies in data management.
- AUTOMATED REPORTING SYSTEMS: Builds automated reporting systems that provide timely insights and facilitate data driven decision making.
- DATA MODELING: Provides thought leadership on data modeling and preparation of data in databases for use in various analytics tools and to develop data pipelines to move and improve data assets.
Qualifications
- Minimum requirement of 6 years of relevant work experience. Typically reflects 10 years or more of relevant experience.
PREFERRED QUALIFICATIONS
- ARCHITECTURAL LEADERSHIP: Defines long-term technical direction, establishes best practices, and ensures solutions are scalable, maintainable, and aligned with enterprise strategy.
- OPERATIONAL EXCELLENCE MINDSET: Champions reliability, observability, and performance, ensuring data systems meet high standards for availability and quality.
- STRATEGIC DECISION MAKING: Evaluates competing priorities such as speed, cost, risk, and flexibility to make sound technical and architectural decisions.
- CLOUD DATA PLATFORMS: deep expertise implementing cloud-based data warehouses, data lakes, and open table formats in large-scale production environments. Has hands-on experience with technologies such as Snowflake, AWS, and open lakehouse ecosystems.
- DATA INGESTION: Demonstrated proficiency in 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 TRANSFORMATION: Strong background with using Spark for data transformation, including streaming, performance tuning, and debugging with Spark UI.
- DEVOPS: extensive experience in DevOps practices, including code management, CI/CD, and deployment strategies.
#HiPo
Skills Required
- Minimum 6 years of relevant work experience
- Deep expertise in cloud-based data platforms
- Proficiency with data ingestion tools like Kafka and AWS Glue
- Experience with data transformation using Spark
- Extensive experience in DevOps practices
What the Team is Saying
Gaby
Data Engineering Lead
Landon
North America Service Assurance Manager
Navita
Software Engineering Senior Supervisor
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William Orgertrice
Data Engineer
Kayode D.
Principal Data Engineer
Patricia
Supply Chain Learning & Development and Digital Support Lead
Heather W.
Software Engineer
Kristen K.
Factory of the Future Digital Product Manager
Shrey B.
Senior Software Engineer
Madhuri P.
Senior Data Scientist
William Orgertrice
Data Engineer — Data Function, Platforms and Product Engineering
Navita S.
Software Engineering Senior Supervisor
Heather W.
Software Engineer
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Cargill Compensation & Benefits Highlights
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Retirement Support — Feedback suggests the 401(k) with immediate eligibility, a clear company match paid quarterly in company stock, and employer-funded retirement components (e.g., ESOP/ERA) offer strong long-term savings value. Vesting timelines are defined, supporting predictable planning.
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Leave & Time Off Breadth — Feedback suggests PTO scales from 15 to 30 days with service and follows a clear June 1–May 31 plan year. Standard holidays and floating days further expand time away options.
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Parental & Family Support — Feedback suggests up to 6 weeks paid bonding leave and 4 weeks for family care, adoption/surrogacy reimbursement up to $10,000, and resources like Bright Horizons and Milk Stork provide meaningful support for families. Eligibility on a 12‑month cadence with FMLA‑style requirements increases practical usability.
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The Company
What We Do
We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.
Why Work With Us
The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.
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Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
