AI-Native Data Engineer: Build Smart Data Pipelines

Plante Moran

Cleveland (OH)

In loco

USD 83.000 - 138.000

Tempo pieno

47 ore fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Health insurance
Dental insurance
Vision insurance
401(k) plan
Flexible Time Off
Meal reimbursement

Descrizione del lavoro

Plante Moran is building the next generation of its data and analytics platform and seeks an AI‑Native Data Engineer who will design scalable, governed data pipelines in Microsoft Fabric and Azure, aligning to Medallion Architecture with AI integrated into the lifecycle.

You will ingest data from APIs and enterprise systems, develop PySpark transformations and SQL logic, and collaborate with architects to translate ambiguous requirements into practical solutions while using Git and CI/CD to

Competenze

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • 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).
  • Must be able to remain in a stationary sitting position for at least 75% of the time and able to lift 15 lbs; travel locally.

Mansioni

  • Build and operate automated, repeatable data pipelines in Microsoft Fabric and Azure with strong observability.
  • Implement Medallion Architecture (Bronze/Silver/Gold): land raw data, transform/validate/enrich, 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 AI/ML needs.
  • Develop transformations using Python/PySpark/Spark and SQL/T‑SQL.
  • Explore AI agentic workloads and patterns or learn them.
  • Use Git and CI/CD for source control, reviews, and deployments; leverage Copilot/AI tools to accelerate delivery.
  • Partner with architects to translate ambiguous requirements into scalable, governed solutions.

Descrizione del lavoro

Plante Moran is building the next generation of its data and analytics platform and seeks an AI‑Native Data Engineer who will design scalable, governed data pipelines in Microsoft Fabric and Azure, aligning to Medallion Architecture with AI integrated into the lifecycle.

You will ingest data from APIs and enterprise systems, develop PySpark transformations and SQL logic, and collaborate with architects to translate ambiguous requirements into practical solutions while using Git and CI/CD to

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