Cargill Jobs

Sr. Data Engineer

Cargill

Sr. Data Engineer

Posted Yesterday

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Wayzata, MN, USA

In-Office

90K-155K Annually

Senior level

Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial

Reimagining what's possible for food and agriculture

The Role

Designs, builds, and operates scalable data systems and products on Cargill’s AWS-native Minerva platform. Develops batch and streaming pipelines, data models, lakehouse architectures, automated deployment pipelines, and governed analytics solutions. Migrates workloads from legacy CDP and Impala platforms, validating schemas, row counts, aggregates, and historical data accuracy. Collaborates with data and analytics teams across supply chain, procurement, manufacturing, commercial, and LATAM domains.

Summary Generated by Built In

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life's essentials, we enable businesses to grow, communities to prosper, and consumers to live well.
This position is in our Food Enterprise where we are committed to serving food manufacturers, food service customers, and retailers with a complete range of innovative ingredients and branded products. Our portfolio includes poultry, beef, egg, alternative protein, salt, oils, starches, sweeteners, cocoa and chocolate.
Job Purpose and Impact

The Senior Professional, Data Engineering 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. Within Food Data Engineering Americas, this role builds and operates data products on Cargill's Minerva platform, supporting the ongoing migration off CDP and enabling scalable, governed data solutions for Supply Chain, Procurement & Manufacturing, Commercial Excellence, and LATAM domains.

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 it 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.
Minerva Data Product Delivery: Builds and maintains data products within the Minerva Engineering Framework (MEF), supporting migration of workloads and historical data from CDP to Minerva's Lakehouse and Compute account architecture.
Migration Validation: Validates migrated data products using platform reconciliation tooling, ensuring row counts, schema, and aggregate accuracy between legacy (CDP/Impala) and Minerva (AWS Athena/Lakehouse) sources.

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). Hands-on AWS experience strongly preferred given Minerva's AWS-native architecture.
Data Architecture: Hands-on experience building modern data architectures, including data lakes, data lakehouses, and data hubs, along with related capabilities such as ingestion, governance, modeling, and observability.
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 (Confluent Kafka, Apache Flink).
Data Modeling: Expertise in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue, Airflow/Astronomer). Deep experience with modeling concepts like SCD and schema evolution.
Data Transformation: Strong background using 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-level proficiency in SQL for data manipulation and optimization.
DevOps: Demonstrated experience 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.
Snowflake & Information Warehouse: Working knowledge of Snowflake, including warehouse/database/schema design and the dbt-Snowflake adapter, for provisioning and serving Minerva data products in the Information Warehouse layer.
Platform Migration Experience: Prior experience migrating on-premises or legacy platform workloads (e.g., Cloudera, Hadoop, Impala) to a cloud-native lakehouse, including data reconciliation and historical/CDC data loads.
Engineering Framework & Tooling: Familiarity with Git-based CI/CD delivery for data products (e.g., Vela CI/CD or similar pipeline tooling), Data Product Package structures, and metadata/catalog tools (e.g., Atlan) for lineage and discovery.
Domain & Source Systems: Exposure to SAP source systems and food/CPG domain data (e.g., supply chain, procurement, commercial/sales) is a plus, given FDEAMR's portfolio scope.

Compensation Data
The expected salary for this position is $90,000 - $155,000. 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.
At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellnessto learn more (subject to certain collective bargaining agreements for Union positions) .
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
Equal Opportunity Employer, including Disability/Vet

Skills Required

At least 4 years of relevant work experience
Experience developing data systems on cloud platforms such as AWS, GCP, or Azure
Experience building data lakes, lakehouses, or data hubs, including ingestion, governance, modeling, and observability
Proficiency with data ingestion tools such as Kafka or AWS Glue and storage formats such as Iceberg or Parquet
Experience with streaming architectures and tools such as Confluent Kafka or Apache Flink
Experience with SQL-based transformation and modeling frameworks and orchestration tools such as dbt, AWS Glue, Airflow, or Astronomer
Experience with slowly changing dimensions and schema evolution
Strong Apache Spark experience, including streaming, performance tuning, and debugging
Advanced programming skills in Python, Java, Scala, or similar languages
Expert-level SQL proficiency for data manipulation and optimization
Experience with DevOps practices, code management, CI/CD, and deployment strategies
Knowledge of data governance, data quality, privacy, and security principles
Working knowledge of Snowflake warehouse, database, and schema design and the dbt-Snowflake adapter
Experience migrating legacy or on-premises platforms such as Cloudera, Hadoop, or Impala to cloud-native lakehouses
Experience with data reconciliation and historical or change-data-capture loads
Familiarity with Git-based CI/CD, data product packaging, and metadata or catalog tools such as Atlan
Exposure to SAP source systems and food or CPG domain data

What the Team is Saying

Cargill Compensation & Benefits Highlights

Healthcare Strength — Health coverage is described as robust, with multiple medical plan options (including HSA/HRA pathways) plus dental, vision, and mental‑health supports such as a 24/7 EAP and Lyra. Wellness incentives, health advocacy, and group‑rate voluntary protections further round out the offering.
Retirement Support — Retirement programs combine a 401(k) with company contributions and an Employee Stock Ownership Plan, with some materials also noting an employer‑funded retirement account based on age and service. This multi‑layered design emphasizes long‑term savings and ownership participation.
Parental & Family Support — Paid family leave for the delivering parent is outlined at up to 12 weeks fully paid when combining salary continuation and leave programs, alongside bonding and caregiver leave structures. Family resources such as adoption/surrogacy reimbursement, Bright Horizons childcare support, and Milk Stork are also available.

Learn more about Cargill's Compensation & Benefits →

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The Company

HQ: Wayzata, MN

155,000 Employees

Year Founded: 1865

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.