AI Data Engineer
About The Position
Count on us. Our "we-care" culture is more than just a motto; it's a promise. From day one, we prioritize your growth, well-being, and success. You can count on us to support your career journey and help you achieve your professional goals. Join us. Plante Moran is modernizing its data and analytics platform and is seeking an AI‑Native Data Engineer to build scalable, governed solutions in a Microsoft ecosystem (Microsoft Fabric, Azure, Power BI). You’ll implement Medallion Architecture patterns and use AI as a first‑class part of the engineering lifecycle.
Requirements
- 2–4 years in data engineering, analytics engineering, or software development.
- Strong SQL plus Python for data transformation and pipeline logic; experience with PySpark/Spark.
- Hands‑on with Microsoft Fabric (Lakehouse/Data Engineering/Pipelines) and Azure Data Factory; general Azure exposure (Azure SQL, Storage, APIs).
- Experience with Databricks (Azure Databricks preferred).
- Working knowledge of Git and CI/CD basics (branching, PRs, automated checks/deployments).
Nice To Haves
- Experience building AI agentic workloads (e.g., Microsoft CoPilot Agents workflow automation, PR review bots, orchestration assistants), or strong interest in learning agent‑based patterns.
- Familiarity with lakehouse or data warehouse architectures and governance concepts (cataloging/lineage/security).
- Power BI experience with semantic models or tabular modeling.
- PowerShell scripting or automation for deployments and operational workflows.
Responsibilities
- Build and operate automated, repeatable data pipelines in Microsoft Fabric and Azure (e.g., Data Factory) with strong observability.
- Implement Medallion Architecture (Bronze/Silver/Gold): land raw data, transform/validate/enrich, and publish trusted data products for analytics and AI.
- Ingest data from APIs and enterprise systems into lakehouses and Azure SQL–based stores; model data to support reuse and AI/ML feature needs.
- Develop transformations using Python/PySpark/Spark and SQL/T‑SQL.
- Experience building AI agentic workloads (e.g. Microsoft CoPilot Agents, workflow automation, PR review bots, orchestration assistants), or strong interest in learning agent‑based patterns.
- Use Git and CI/CD (e.g., GitHub/GitHub Actions) for source control, reviews, and deployments; leverage Copilot/AI tools to accelerate delivery and documentation.
- Partner with architects and stakeholders to translate ambiguous requirements into scalable, governed solutions.
Benefits
- health, dental, vision, disability, and life insurance
- Flexible Time Off and various pre-determined holidays
- 401(k) plan
- flexible benefits plans
- business-related travel expense, lodging, and meal reimbursement for business-related use
- pension plan is also available for eligible administrative and paraprofessional staff
- discretionary bonus plan is available for eligible staff
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees
