Data Engineer

Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. 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 alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.

Job Purpose and Impact

The Data Engineer role designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job collaborates to ensure that large sets of data are efficiently processed and made accessible for decision making.

Key Accountabilities

• Develops moderately complex data products and solutions using advanced data engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
• Maintains and supports the development of 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 implement the identified areas for improvement and optimization.
• Helps prepare data infrastructure to support the efficient storage and retrieval of data.
• Implements appropriate data formats to improve data usability and accessibility across the organization.
• Partners with multi-functional data and advanced analytic teams to collect requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
• Builds moderately complex prototypes to test new concepts and implements data engineering frameworks and architectures to support the improvement of data processing capabilities and advanced analytics initiatives.
• Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
• Performs moderately complex data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.

Qualifications

• Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.

Preferred Qualifications

• Experience with Python
• Experience with AWS and/or Hadoop

Additional Details

• Location: GA-Atlanta or MN-Wayzata; Relocation assistance is not provided for this role
• The business will not sponsor applicants for work visas for this position
• Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.

The expected salary for this position is $80,000-$100,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.

At Cargill we put people first.  As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my\-health/mh\-health\-and\-wellnessto learn more (subject to certain collective bargaining agreements for Union positions).

Equal Opportunity Employer, including Disability/Vet.