Data Engineer, Manufacturing & Supply Chain - Cargill - Atlanta, GA, US | Dice.com

Cargill

Apply Now

Data Engineer, Manufacturing & Supply Chain

Atlanta, GA, US • Posted 11 hours ago • Updated 29 minutes ago

Full Time

On-site

Apply Now

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Job Details

Skills

Manufacturing
Supply Chain Management
SAFE
Data Analysis
Reporting
Supervision
Decision-making
Streaming
Data Lake
Data Warehouse
Optimization
Storage
Usability
Stakeholder Management
Analytical Skill
Prototyping
Data Engineering
Data Processing
Advanced Analytics
Data Modeling
Accessibility
SQL
Apache Spark
Python
Scala
Amazon Web Services
Cloud Computing
Amazon S3
Continuous Integration
Continuous Delivery
Apache Kafka
Snow Flake Schema

Summary

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 Summary

The Professional, Data Engineering job 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.

Essential Functions

DATA & ANALYTICAL SOLUTIONS: 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.
DATA PIPELINES: 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.
DATA SYSTEMS: Reviews existing data systems and architectures to implement the identified areas for improvement and optimization.
DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and retrieval of data.
DATA FORMATS: Implements appropriate data formats to improve data usability and accessibility across the organization.
STAKEHOLDER MANAGEMENT: 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.
DATA FRAMEWORKS: 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.
AUTOMATED DEPLOYMENT PIPELINES: Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
DATA MODELING: 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

2+ years of professional proficiency in SQL
2+ years of professional experience working with spark with a programming language [Python/Scala]
2+ years of professional experience working with AWS Cloud tools like S3, Secret Manager, CloudWatch
2+ years of professional experience working with CI/CD tools and any code repo
2+ years of professional experience with Kafka and Snowflake is highly preferred

#LI-NS7

Equal Opportunity Employer, including Disability/Vet.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10354351
Position Id: f1e33d6c6d1eba8cc1cc6882a809719e
Posted 11 hours ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Hybrid in Alpharetta, Georgia

•

Today

No Remote for Data Engineer- Only Onsite We are seeking a Data Engineer with expertise in Google Cloud Platform (Google Cloud Platform) and Vertex AI to design, build, and optimize data pipelines supporting machine learning and analytics. The role requires hands-on experience in data engineering, ML-ready data preparation, and integration with Vertex AI pipelines for scalable AI/ML model development. Key ResponsibilitiesDesign and implement scalable ETL/ELT pipelines using Dataflow, Dataproc, B

Easy Apply

Third Party, Contract

$60 - $80

Backend Data & Snowflake Engineer

Remote

•

6d ago

Job Title: Backend Data & Snowflake Engineer Location: Remote Job Description: We are seeking a talented and self-starter Backend Data & Snowflake Engineer to join our team. This role blends backend data engineering with deep expertise in Snowflake to support growing business needs. The ideal candidate has strong experience in ETL processes, big data workloads, and Python/Apache Spark, with the ability to design, maintain, and optimize scalable data solutions. Key Responsibilities Data Engineer

Easy Apply

Full-time

Depends on Experience

Sr. Data Engineer/ Data Architect (Databricks & Azure)

Remote

•

2d ago

Title: Sr. Data Engineer/ Data Architect Location: 100% Remote Duration: Direct Hire Direct Client Required Qualifications: 10-15+ years of data engineering and/or data architecture experience, with at least 5+ years leading modernization or migration initiatives. Proven expertise in legacy-to-cloud migrations (e.g., from on-prem or traditional databases to Azure Databricks ecosystem). Demonstrated abilities & experience handling rapid business focus / strategic shifts. Strong data warehousing

Easy Apply

Full-time

Depends on Experience

Staff Data Engineer, Compliance Engineering & Technology

California

•

Today

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture

Full-time

USD 239,600.00 per year

Data Engineer, Manufacturing & Supply Chain

Dice Job Match Score™

Dice Job Match Score™

Job Details

Skills

Summary

Similar Jobs

Dice Job Match Score™