Azure Cloud Data Engineer - Data, APIs & Analytics

Mercedes-Benz Financial Services USA LLC; Fort Worth (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Mercedes-Benz Financial Services USA LLC in Fort Worth, TX is seeking a Cloud Data Engineer to help deliver data solutions for contract management and tax applications. You will work with Java, PostgreSQL, and Python, building data pipelines and APIs while aligning with SOX and ITM standards.

You will partner with business and tech teams to translate needs into dashboards and reports, support data migrations, and contribute to AI and automation efforts in an Azure cloud environment.

Qualifications

• Bachelor's degree is required in Information Technology or Computer Science.
• Experience with data engineering and analytics is preferred.
• Strong SQL, scripting and data visualization skills.
• Knowledge of Azure cloud is a plus.

Responsibilities

• Understand data layout of the contract management and tax systems to build data solutions.
• Write scripts to extract data from internal databases for validations and analyses.
• Collaborate with business and tech teams to design dashboards and reports.
• Build APIs to support integrations.
• Drive analyses to provide insights for business strategies.
• Support data migrations and AI/automation initiatives.
• Maintain Sarbanes-Oxley compliance and ITM standards.
• Assist with data infrastructure during application upgrades.

Skills

Analytical skills

Testing

Programming

Database

Microsoft Office

Team member

Education

Bachelor's Degree in Information Technology

Bachelor's Degree in Computer/Information Science

Tools

PowerPoint

Word

MS Project

Microsoft Office

Job description

Mercedes-Benz Financial Services USA LLC in Fort Worth, TX is seeking a Cloud Data Engineer to help deliver data solutions for contract management and tax applications. You will work with Java, PostgreSQL, and Python, building data pipelines and APIs while aligning with SOX and ITM standards.

You will partner with business and tech teams to translate needs into dashboards and reports, support data migrations, and contribute to AI and automation efforts in an Azure cloud environment.