Sr. Data Engineer, Archer Daniels Midland Company, Erlanger, KY. Design, build, refactor, and maintain data pipelines to
meet business requirements for reporting, analysis, and data science. Teach, adhere to, and contribute to DataOps and
MLOps standards and best practices and continuously improve and accelerate data system performance. Design and
integrate fault tolerance and enhancements into data pipelines to improve quality and performance. Perform root cause
analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costs. Engage business
end users and shares responsibility leading a delivery team. Leverage in depth knowledge of HR systems to build efficient
and robust analytical solutions. Demonstrate in depth platform understanding of Azure to design an automated FinOps
solution using secure REST APIs. Utilize PySpark for scalable transformation of billing data, which enables real-time spend
visibility and advanced analytics, detect cost anomalies, model usage forecasts, and uncover optimization opportunities
across computers, storage, and data pipelines. Integrate real-time and event-driven workflows, building APIs and process
objects to orchestrate data flows across enterprise systems. Demonstrate domain expertise in agricultural nutrition and
Procure-to-Consume (P2C), with a clear understanding of how customer nutrition orders, and commercial demand drive
commodity sourcing, manufacturing execution, inventory consumption, supplier invoicing, and financial outcomes across
an ag services enterprise. Apply P2C and Nutrition business understanding to design and govern end-to-end data solutions,
integrated with SAP and core ERP platforms, that connect orders, production and inventory movements, purchase orders,
supplier invoices, settlement and payment, providing leadership with reliable visibility into cost-to-serve, margins, and
working capital. Deliver executive-level analytics using Microsoft Power BI on nutrition product volumes, input cost
variability, supplier performance, invoice accuracy, and consumption trends, translating complex operational and financial
data into clear insights that support cost management, and strategic planning.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.
MINIMUM REQUIREMENTS:
Bachelor's degree or foreign equivalent degree in Engineering (any), Information Systems, Business, Computer Science,
Software Engineering, or a related field, and seven (7) years of post-bachelor's, progressive, related work experience.
Must have seven (7) years of experience with/in:
• At least three (3) of the following cloud-based data systems: Microsoft Azure, SQL, Azure Data Factory, Azure
Synapse, Databricks, Python, Pyspark, SAP Datasphere, and/or Power BI;
• Azure DevOps, GitHub, and CI/CD implementation;
• Designing and developing real-time and batch data pipelines using Qlik Replicate and Compose, enabling
seamless integration across heterogeneous systems (e.g., Oracle, SQL Server, or JDEdwards) with full CDC
(Change Data Capture) support;
• Designing and coding complex data transformations using advanced processing techniques to extract actionable
business insights from large, disparate, and disconnected datasets, aligning data solutions with domain
requirements, KPIs, and strategic decision-making objectives;
• Experience in building scalable ETL/ELT frameworks utilizing REST APIs, Graph APIs, event-based ingestion, CDC
patterns, file-based ingestion (e.g., JSON, Parquet, Avro, or CSV), SFTP, and cross-platform database connectivity
within hybrid and multi-cloud environments;
• Cloud-native storage, data lakes and distributed computing, dimensional modeling, enterprise data warehouses,
and master data processes;
• Integrating robust security measures, such as end-to-end encryption, PGP encryption methods, and data masking
for sensitive information to ensure compliance with data privacy regulations; and
• Integrating pipeline security controls such as secret management using Azure Key Vault, role-based approvals,
artifact integrity checks, and environmental isolation.
Telecommuting permitted on a hybrid schedule as determined by the employer.
To apply, mail resume to: Christina Hetzer, ADM; PO BOX 1470, Decatur, IL 62525 (reference: KY0133).
#IncludingYou
Diversity, equity, inclusion and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments - environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career. We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together.
We welcome everyone to apply. We are committed to ensuring all qualified applicants receive consideration for employment regardless of race, color, ethnicity, disability, religion, national origin, language, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law
To apply please click on APPLY TO THIS POSITION
Job Post Date: 10/09/26
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