We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and platforms that enable reliable data ingestion, transformation, storage, and analytics. The ideal candidate will have strong expertise in cloud-based data engineering, ETL/ELT frameworks, data warehousing, and modern big data technologies
Key Accountabilities
- Design and develop scalable data ingestion and processing pipelines.
- Build and maintain batch and real-time data integration solutions.
- Develop ETL/ELT workflows to transform and load data from various source systems.
- Design and optimize data models for analytics and reporting.
- Ensure data quality, integrity, governance, and security standards are maintained.
- Monitor, troubleshoot, and optimize data pipelines and workloads.
- Collaborate with product owners, business stakeholders, architects, and data scientists to deliver data solutions.
- Implement data observability, monitoring, and alerting mechanisms.
- Support cloud migration and modernization initiatives.
- Create and maintain technical documentation, data lineage, and operational runbooks.
Qualifications
- Have a Bachelor's degree with minimum 4 years of professional experience.
- Experience with Snowflake, Databricks, Redshift, BigQuery, or Synapse.
- Knowledge of Apache Kafka or other streaming technologies.
- Experience with dbt and modern data stack tools.
- Familiarity with DataOps and MLOps practices.
- Understanding of data governance, metadata management, and data quality frameworks.
- Cloud certifications (AWS, Azure, or GCP) are preferred
- Technical Skills
- Programming: Python, SQL, Scala, Java
- Data Processing: Spark, Hive, Airflow
- Cloud: AWS (S3, Glue, Lambda, EMR), Azure, GCP
- Databases: SQL Server, Oracle, PostgreSQL, Snowflake
- Streaming: Kafka, Kinesis
- DevOps: Git, Jenkins, CI/CD
- Data Modeling: Star Schema, Snowflake Schema, Data Vault
Skills Required
- Bachelor's degree
- Minimum 4 years of professional experience
- Experience with Snowflake, Databricks, Redshift, BigQuery, or Synapse
- Knowledge of Apache Kafka or other streaming technologies
- Experience with dbt and modern data stack tools
- Familiarity with DataOps and MLOps practices
- Understanding of data governance, metadata management, and data quality frameworks
- Cloud certification in AWS, Azure, or GCP
- Programming experience with Python, SQL, Scala, or Java
- Experience with Spark, Hive, or Airflow
- Experience with cloud platforms including AWS, Azure, or GCP
- Experience with SQL Server, Oracle, PostgreSQL, or Snowflake
- Experience with Kafka or Kinesis
- Experience with Git, Jenkins, or CI/CD
- Knowledge of star schema, Snowflake schema, or Data Vault modeling
Cargill Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision options, with broad networks, mental-health/EAP resources, and wellness incentives. Feedback suggests plan choice and advocacy resources provide strong support for navigating care.
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Retirement Support — Retirement programs feature a 401(k) with company matching alongside an ESOP and an additional retirement account. Feedback suggests these elements are widely regarded as a strong long‑term value.
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Leave & Time Off Breadth — The published PTO structure scales from 15 to 30 days with tenure, alongside paid holidays and paid family leave. Feedback suggests the breadth of time off supports work‑life needs, especially for longer‑tenured employees.
Cargill Insights
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.



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