> Markdown version of [/jobs/ext/3006649-data-specialist](https://www.wearedevelopers.com/jobs/ext/3006649-data-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Specialist

- **Company:** Caterpillar
- **Location:** Peoria, IL, United States
- **Salary:** $97,530.0 - $146,290.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon S3, Data Analysis, Big Data, Cloud Computing, Databases, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Profiling, Data Systems, Data Warehousing, Relational Databases, Database Design, Amazon DynamoDB, Information Lifecycle Management, Information Management, JSON, Logical Data Models, Meta-Data Management, Operational Data Store, Object-Oriented Software Development, Amazon Simple Notification Service (SNS), Software Engineering, SQL Databases, Technical Data Management Systems, Extensible Markup Language (XML), Data Processing, Snowflake, Data Lakes, Data Programming, Data Analytics, AWS Fargate, Web Technologies, Data Lakehouse, Functional Programming, Amazon Simple Queue Service (SQS), Alteryx
- **Published:** September 19, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3388799774&tx=JT10294UHV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Understanding of information management concepts such as controlled vocabularies, authority control, data modeling, and schema design.
 * Strong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, as well as new concepts such as data fabrics, data mesh, and data lakehouse. .
 * Strong understanding of data governance, metadata management, data quality, data modeling, and data architecture concepts
 * Experience creating data solutions as well as conceptual and logical data models
 * Demonstrated Data Design for Big Data, Analytics and applications
 * AWS Cloud Based Technologies for Data Processing and Persistence (DynamoDB, S3, Aurora, Kinesis, SQS, SNS, Lambda, Fargate, Glue)
 * Snowflake and other business intelligence experience
 * Experience with data profiling tools such as Alteryx
 * Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar).
 * XML and JSON file format knowledge
 * Experience with Object Oriented Concepts/Development/Modeling
 * Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.
 * Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience
 * Comfortable working in a dynamic environment where digital is still evolving as a core offering

## Description

Join the STU team of Cat Digital and be responsible for employing data analytics to assess an organization's technical performance and makes system enhancement recommendations.

What You Will Do:

 * Analyzing customer requirements based on the understanding of conformed models and catering solutions that are implementable and maintainable.
 * Discerning data accuracies in large sets of data of diverse formats
 * Researching, designing, and documenting data specifications at all points in the production life cycle.
 * Understanding software development and web technologies and having proficiency in SQL and other data programming languages.

What You Will Have:

 * Value Realization: Basic knowledge of value realization methods; ability to plan, execute, monitor and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case.
 * Communicating Complex Concepts: Working knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience.
 * Agile Development: Working knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies, disciplines, practices and techniques for the delivery of new and enhanced applications.
 * Cloud Computing: Working knowledge of the concepts, technologies and services of cloud computing; ability to design, deploy and implement cloud computing solutions in various business environment.
 * Database Design (Physical): Working knowledge of database systems; ability to establish a data model for designing an organization's database that runs effectively and efficiently for better business outcome.
 * ETL Process: Working knowledge of the extraction, transformation and loading (ETL) process; ability to develop a database through the ETL process.
 * Information Management: Extensive knowledge of an organization's existing and planned Information Architecture and Information Management (IM) methodology; ability to collect and manage information from different sources, and distribute this information to enhance operational efficiency.
 * Modeling: Data, Process, Events, Objects: Working knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)