Analytics Data Engineer

Caterpillar Inc.

Analytics Data Engineer at Caterpillar Inc. designing and maintaining data pipelines using AWS and Azure technologies.

Posted 7/14/2026full-timePeoria • Illinois • 🇺🇸 United StatesMid-LevelSenior💰 $89,210 - $144,960 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in designing and maintaining data pipelines and infrastructure using AWS Services, MWAA Airflow, and Azure DevOps. Strong experience in SQL and Python programming, with a focus on data engineering best practices and troubleshooting.

Highest-signal resume keywords

AWS ServicesSQL ProgrammingPython (NumPy, SciPy, Pandas)CI/CD Pipelines (Azure DevOps, Git Actions)Data Structure (JSON, XML)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentTechnical DocumentationAutomated TestingData EngineeringTroubleshootingVersion Control (GitHub)Agile MethodologyData Infrastructure MaintenancePerformance OptimizationReliability Engineering

Soft Skills

Interpersonal SkillsEffective CommunicationOrganizational SkillsInitiativeProblem-Solving

Tools & Technologies

MWAA AirflowSnowflakeAzure DevOpsGITS3EC2

Industry Keywords

Data EngineeringCloud TechnologiesContinuous LearningAnalytics

Tech Stack

Tools & technologies

AirflowAWSAzureCloudEC2NumpyPandasPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain data pipelines and infrastructure using AWS Services, MWAA Airflow, Snowflake, GIT and Azure DevOps CD-CI pipelines.
Work with other team members to ensure the performance, reliability, and scalability of our data systems
Keep up to date with industry trends and best practices related to data engineering and related technologies
Troubleshoot and debug issues with data pipelines and systems
Write and maintain technical documentation for data engineering processes and systems

Requirements

What you’ll need

Bachelor's or master’s degree in Computer Science, Information Technology, or related field
Working experience applying SQL and Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.
Working knowledge with cloud technologies (AWS, MWAA Airflow, S3, EC2, etc.)
Experience with CI/CD Pipelines (Azure DevOps, Git Actions, or equivalent)
Experience with data structure (JSON, XML, or equivalent)
Experience with automated testing (Regression tests)
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field
Working experience with version control / repositories such as GitHub
Experience operating in an Agile environment
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
Excellent organizational skills, with the ability to manage multiple requests and priorities simultaneously.

Benefits

Comp & perks

Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement