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The Role
Designs, develops, and maintains scalable batch and real-time data pipelines, ETL/ELT workflows, data models, and cloud data platforms. Ensures data quality, governance, security, observability, and performance while supporting cloud modernization. Collaborates with product owners, architects, business stakeholders, and data scientists, and maintains technical documentation, lineage, monitoring, and operational runbooks.
Summary Generated by Built In
Job Purpose and Impact
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
Qualifications
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
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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Healthcare Strength — Health coverage includes multiple medical plan options alongside dental, vision, wellness programs, and mental-health/EAP resources. Plan breadth and provider access are often highlighted as strong points.
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Retirement Support — Retirement offerings feature a 401(k) with employer matching and additional programs such as an ESOP and employer-funded retirement contributions. Plan details like matching and vesting are emphasized as meaningful components of total rewards.
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Leave & Time Off Breadth — Paid time off scales with tenure and is complemented by paid holidays and paid family leave. These provisions are presented as part of a broad, well-rounded package.
Cargill Insights
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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
