Data Engineer

Career Area:

Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live.

Together, we are building a better world, so we can all enjoy living in it.

Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers.

With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world

As a Data Engineer on the Platform Data Engineering team, you will be responsible for developing Python data pipelines that build business data objects used to support applications.

What You Will Do:

Responsibilities of the incumbents are across functional lines with individuals assigned in new program development.

Performs all programming, project management, and development assignments without close supervision; normally assigned the more complex aspects of systems work.

Works directly on complex application/technical problem identification and resolution

Interprets design requirements for engineering implementation

Building and deploying CICD pipelines

Implementing source to target mapping as pipeline code Responsible for Unit and Integration testing

Maintains high standards of software quality within the team by establishing good practices and habits

Identifies and encourage areas for growth and improvement within the team Performs other job duties as assigned by Caterpillar management from time to time

What

You Will Have:

Software Development:
Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.

Software Development Life Cycle:
Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.

Software Product Design/Architecture:
Knowledge of software product design; ability to convert market requirements into the software product design.

Software Product Technical Knowledge:
Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products.

Software Product Testing:
Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.

Consideration for Top Candidates:

Software development experience and solid working knowledge of OOP principles.

Experience in designing and developing software applications in Python.

Experience working with Git version control

Deploying software using CI/CD tools such as Jenkins, Github Actions, Azure Devops etc.

Experience with AWS components such as Lambda, Dynamo, Fargate, S3, Sagemaker, IAM and RDS Experience with relational and/or noSQL databases such as PostgreSQL, DynamoDB, MongoDB, Oracle, etc.

Demonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends.

Exceptional communication skills with experience working on a cross functional team.

Additional Details:

This position requires the candidate to be in Chicago, IL or Peoria, ILRelocation assistance is NOT available for this position

Visa sponsorship is NOT available with this position.

Sum…