Cargill · 14 hours ago
Senior Data Engineer - Atlanta, GA
Atlanta, GA
Full-time
Onsite
Mid, Senior Level
4+ years expCargill is a global leader in providing food, ingredients, agricultural solutions, and industrial products. The Senior Data Engineer role involves designing, building, and maintaining complex data systems to enable data analysis and reporting, ensuring efficient data processing for decision making.
AgricultureFood and BeverageFood ProcessingManufacturingMeat and Poultry
No H1B
Responsibilities
Prepares data infrastructure to support the efficient storage and retrieval of data
Examines and resolves appropriate data formats to improve data usability and accessibility across the organization
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
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 to data stores like data lake, data warehouse and others
Reviews existing data systems and architectures to identify areas for improvement and optimization
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
Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives
Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance
Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility
Qualification
Required
Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience
Preferred
Experience developing data systems on major cloud platforms (AWS, GCP, Azure)
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
Demonstrated proficiency in data collection, ingestion tools (Kafka, AWS Glue), and storage formats (Iceberg, Parquet)
Experience developing data pipelines with streaming architectures and tools (Kafka, Flink)
Expertise in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue, Airflow). Deep experience with modeling concepts like SCD and schema evolution
Strong background with using Spark for data transformation, including streaming, performance tuning, and debugging with Spark UI
Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization
Demonstrated experience in DevOps practices, including code management, CI/CD, and deployment strategies
Strong background in data governance principles, including data quality, privacy, and security considerations for data product development and consumption
Company
Cargill
Cargill provides agricultural, food, bioindustrial, and risk management solutions across global supply chains and manufacturing sectors.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$0.02MKey Investors
National Safety Council
2025-06-25Grant· $0.02M
Leadership Team
Brian Sikes
Board Chair and CEO
David MacLennan
Chairman & Chief Executive Officer
Recent News
2026-01-22
Business Wire
2026-01-20
Morningstar.com
2026-01-16
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