Data Engineer: AI-Ready Data Platforms & Automation

Onehealthineers

Atlanta (GA)

On-site

USD 80,000 - 111,000

Full time

2 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) retirement plan
Life insurance
Disability insurance
Paid time off

Job summary

Siemens Healthineers is hiring a Data Engineer in the Atlanta area to build and evolve an enterprise data, analytics, and AI platform. You will develop scalable data products, semantic models, and automated data pipelines using Snowflake, Python, and modern cloud tech.

You’ll partner with stakeholders and cross‑functional teams to deliver trusted data assets, enable self-service analytics, and drive AI‑powered capabilities with governance and documentation.

Qualifications

  • 4+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Development.
  • Strong experience with Snowflake, SQL, and Python.
  • Experience with data modeling, data warehousing, and ETL/ELT development.
  • Experience designing scalable enterprise data solutions.

Responsibilities

  • Data Platform Integration (Snowflake, Fabric, Power BI): design AI-ready data layers and trusted datasets.
  • Automation & Workflow Orchestration: build intelligent automation using Python and APIs.
  • Collaboration & Communication: translate AI solutions into business value and present architecture decisions.

Skills

SQL
Python
Data modeling
Data pipelines

Education

Bachelor’s or Master’s in CS/DS/IS

Tools

Snowflake
Power BI
Databricks
Microsoft Fabric

Job description

Siemens Healthineers is hiring a Data Engineer in the Atlanta area to build and evolve an enterprise data, analytics, and AI platform. You will develop scalable data products, semantic models, and automated data pipelines using Snowflake, Python, and modern cloud tech.

You’ll partner with stakeholders and cross‑functional teams to deliver trusted data assets, enable self-service analytics, and drive AI‑powered capabilities with governance and documentation.

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