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Reimagining what's possible for food and agriculture
The Role
Validate end-to-end data flows and risk reporting from source systems into Aurora/PostgreSQL. Test ETL/ELT pipelines, CDC and ingestion scenarios, develop automated tests (Python), execute functional/regression/integration tests, support high-volume EOD validation, log and track defects, and collaborate with engineers and analysts to ensure data accuracy and alignment with business logic.
Summary Generated by Built In
Job Purpose and Impact
We are building CRR (Corporate Risk Reporting), an enterprise platform delivering critical commodity risk insights. As a QA Engineer, you will be responsible for ensuring the accuracy, reliability, and consistency of data pipelines and risk reporting outputs. You will work closely with data engineers, SQL developers, and Application Developers to validate data flows and ensure alignment with business requirements.
Key Accountabilities
Data & Functional Validation
Pipeline & Ingestion Testing
Test Automation & Execution
Performance & EOD Validation
Defect Management & Collaboration
Qualifications
Required Skills:
Mandatory:
Good to Have:
We are building CRR (Corporate Risk Reporting), an enterprise platform delivering critical commodity risk insights. As a QA Engineer, you will be responsible for ensuring the accuracy, reliability, and consistency of data pipelines and risk reporting outputs. You will work closely with data engineers, SQL developers, and Application Developers to validate data flows and ensure alignment with business requirements.
Key Accountabilities
Data & Functional Validation
- Validate end-to-end data flows from source systems (SAP/ODP, CTRM, pricing) into Aurora/PostgreSQL.
- Perform data validation and reconciliation to ensure accuracy, completeness, and consistency.
- Support validation of risk outputs (positions, exposures, pricing, P&L) against defined business logic
Pipeline & Ingestion Testing
- Test ETL/ELT pipelines for correctness, data integrity, and consistency.
- Validate snapshot and delta ingestion processes, including CDC scenarios.
- Verify handling of edge cases such as data ordering, duplication (idempotency), and recovery.
Test Automation & Execution
- Develop and maintain test cases and automated test scripts for data pipelines and SQL transformations.
- Execute functional, regression, and integration testing across data and reporting layers.
- Contribute to test automation frameworks using Python or similar tools.
Performance & EOD Validation
- Support testing of high-volume data processing, especially end-of-day (EOD) workloads.
- Identify data discrepancies and performance issues during peak processing.
Defect Management & Collaboration
- Log, track, and support resolution of defects and data issues.
- Work closely with engineers and analysts to analyze root causes and validate fixes.
- Participate in test planning, sprint activities, and release validation.
Qualifications
- Minimum requirement of 3 years of relevant work experience, typically reflecting 5+ years in QA/testing for data platforms, ETL pipelines, or analytics systems.
- Proven ability to balance hands-on technical contribution and cross-team influence.
- Strong communication skills with the ability to engage effectively with both technical and business stakeholders.
Required Skills:
Mandatory:
- Strong proficiency in SQL for data validation and analysis.
- Experience with ETL/ELT processes and data pipeline testing.
- Understanding of data quality concepts and validation techniques.
- Familiarity with test automation using Python or similar tools.
- Basic understanding of CDC patterns, schema evolution, and data integrity principles.
Good to Have:
- Experience with AWS data services (Glue, Lambda, Step Functions, DMS).
- Knowledge of PostgreSQL/Aurora databases.
- Exposure to event-driven systems (e.g., Kafka).
- Proficient in containerization and orchestration using Docker and Kubernetes
- Familiarity with financial, trading, or risk management systems
Skills Required
- Minimum 3 years relevant work experience (typically reflecting 5+ years in QA/testing for data platforms)
- Proficiency in SQL for data validation and analysis
- Experience with ETL/ELT processes and data pipeline testing
- Understanding of data quality concepts and validation techniques
- Test automation using Python or similar tools
- Basic understanding of CDC patterns, schema evolution, and data integrity principles
- Experience validating high-volume end-of-day (EOD) data processing and performance
- Strong communication skills and ability to engage technical and business stakeholders
- Experience with AWS data services (Glue, Lambda, Step Functions, DMS)
- Knowledge of PostgreSQL / Amazon Aurora databases
- Exposure to event-driven systems such as Kafka
- Containerization and orchestration experience with Docker and Kubernetes
- Familiarity with financial, trading, or risk management systems
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 — Two-layer retirement program combines a 401(k) match (100% on the first 3%, 50% on the next 2%) with an employer-funded Employee Retirement Account of roughly 2.5–7% based on age and service. Match is delivered quarterly in company stock and the ERA adds long-term value through additional employer contributions.
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Leave & Time Off Breadth — PTO starts at 15 days and scales to 30 days with tenure, governed by a clear June 1–May 31 cycle. This structured ladder provides predictable time away as service grows.
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Parental & Family Support — Paid family leave offers up to 6 weeks to bond with a new child and 4 weeks to care for a family member or qualifying military needs. Additional supports such as Bright Horizons childcare solutions and Milk Stork reinforce family care.
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
