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AI Data Engineer
AI Data EngineerCrowe • Grand Rapids, MI, US
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AI Data Engineer

AI Data Engineer

Crowe • Grand Rapids, MI, US
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Job Description

Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art technologies, modern architectures, and industry experts to create AI-powered solutions that transform the way our clients do business.

The new AI Transformation team will build on Crowe's established AI foundation, furthering the capabilities of our Applied AI / Machine Learning team. By combining Generative AI, Machine Learning, and Software Engineering, this team empowers Crowe clients to transform their business models through AI, irrespective of their current AI adoption stage.

As a member of AI Transformation, you will help distinguish Crowe in the market and drive the firm's technology and innovation strategy. The future is powered by AI—come build it with us.

About the Team

  • We invest in expertise. You'll have the time, space, and support to go deep on your projects and build lasting technical and strategic mastery. You'll work with developers, product stakeholders, and project managers as a trusted leader and domain expert.
  • We believe in continuous growth. Our team is committed to professional development and knowledge-sharing.
  • We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance.

About the Role

  • Design, develop, and maintain robust data pipelines and ETL processes that enable the seamless integration, cleansing, harmonization, and transformation of data.
  • Collaborate closely with data scientists, analysts, and software engineers to implement data-driven AI solutions that align with strategic business objectives.
  • Leverage advanced tools and platforms including Azure Data Factory, Power BI, and SQL databases to build scalable data solutions.
  • Implement and maintain data fabric architectures to ensure streamlined data access, efficient management, and enhanced performance.
  • Proactively identify opportunities for data optimization, quality improvement, and automation across the data lifecycle.
  • Facilitate the deployment and integration of AI models, ensuring data quality and compatibility with established analytics infrastructure.
  • Engage regularly with cross-functional stakeholders to understand data needs and deliver timely, impactful analytics and reports.
  • Required Skills and Experience

  • Minimum of 7 years of experience in data engineering, ETL development, and data pipeline creation.
  • Strong proficiency in SQL, Azure Data Factory, and Power BI.
  • Demonstrated expertise in data cleaning, harmonization techniques, and managing complex data integrations.
  • Solid understanding of data fabric concepts and experience with related implementations.
  • Hands-on experience developing and maintaining large-scale data pipelines for AI and analytics projects.
  • Excellent communication skills with the ability to translate complex data concepts clearly to non-technical stakeholders.
  • Proven track record of collaborating effectively in agile, cross-functional team environments.
  • Prepared to travel domestically approximately 80% of the time to meet client needs.
  • Proven experience in team leadership, mentorship, or people management.
  • Experience guiding projects or initiatives that showcase senior-level judgment and accountability.
  • Preferred Skills

  • Experience deploying and managing data solutions within Azure AI, Azure ML, or related AI / ML environments.
  • Familiarity with DevOps practices, especially in relation to continuous integration and deployment (CI / CD) for data solutions.
  • Certifications in Azure Data Engineering or related Microsoft certifications (e.g., Azure Data Engineer Associate).
  • Strong background or experience in business analytics, enhancing the strategic alignment of technical solutions.
  • Active participation or interest in data engineering and AI communities, keeping ahead of emerging trends and technologies.
  • Previous experience working within professional services or consultancy environments.
  • Benefits

    Our Benefits : Your exceptional people experience starts here. At Crowe, we care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!

    Application Information

    Application deadline : 12 / 31 / 2025.

    The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. A reasonable estimate of the current range is $104,500.00 – $208,300.00 per year.

    EEO Statement

    Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Crowe LLP does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time.

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