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AI Data Engineer

A public accounting, consulting and technology firm with offices around the world, providing audit, tax, advisory and consulting services.
$104,500 - $208,300
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Finance

Job Description

Crowe LLP is seeking an AI Data Engineer to join their AI Transformation team, focusing on building AI-powered solutions that transform business operations. This role combines data engineering with AI/ML implementation, requiring expertise in building robust data pipelines and ETL processes. The position offers a flexible work environment with unlimited PTO and remote work options.

The ideal candidate will work at the intersection of data engineering and artificial intelligence, designing and maintaining data infrastructure that supports AI initiatives. They'll collaborate with cross-functional teams to implement data-driven solutions using modern tools like Azure Data Factory and Power BI. The role requires both technical expertise in data engineering and the ability to communicate effectively with stakeholders.

Crowe offers a comprehensive benefits package and emphasizes professional growth through regular career coaching and development opportunities. The company's culture is built on values of Care, Trust, Courage, and Stewardship, fostering an inclusive environment where innovation is encouraged. As part of a global network of over 200 firms across 130 countries, this position offers exposure to diverse, challenging projects and the opportunity to shape the future of AI implementation in professional services.

This role is perfect for a data professional who wants to work at the forefront of AI transformation while enjoying work-life balance and clear career progression opportunities. The position combines technical challenges with business impact, offering the chance to work with cutting-edge technologies while solving real-world business problems.

Last updated 2 days ago

Responsibilities For AI Data Engineer

  • Design, develop, and maintain robust data pipelines and ETL processes
  • Collaborate with data scientists, analysts, and software engineers
  • Implement data fabric architectures
  • Facilitate deployment and integration of AI models
  • Engage with stakeholders to understand data needs
  • Build scalable data solutions using Azure Data Factory, Power BI, and SQL databases
  • Identify opportunities for data optimization and automation

Requirements For AI Data Engineer

Python
  • 3-5 years of experience in data engineering, ETL development, and data pipeline creation
  • Strong proficiency in SQL, Azure Data Factory, and Power BI
  • Expertise in data cleaning, harmonization techniques, and managing complex data integrations
  • Solid understanding of data fabric concepts
  • Experience with large-scale data pipelines for AI and analytics projects
  • Excellent communication skills
  • Proven track record of collaborating in agile, cross-functional team environments

Benefits For AI Data Engineer

Medical Insurance
Vision Insurance
Dental Insurance
  • Unlimited PTO
  • Flexible remote work policy
  • Career Coach guidance
  • Comprehensive total rewards package