Senior Data Engineer — AI/ML Data Pipelines & Cloud

Florence Healthcare - US; Atlanta (GA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical and dental insurance

Office space in the heart of the city

Competitive compensation

Job summary

Florence Healthcare - US seeks a senior Data Engineer to lead the design and delivery of large, cross-functional data initiatives. You will build scalable batch and real-time pipelines, define standards for data modeling, testing, observability, security, and governance, and partner with product, engineering, analytics, data science, and business leaders on roadmap and prioritization.

The ideal candidate has 5+ years in data engineering, a degree in CS/DS/Info Science or equivalent, and deep

Qualifications

• 5+ years relevant experience in data engineering.
• Bachelor’s or Master’s in CS/Data Science/InfoScience or equivalent.
• Deep hands-on expertise with data platforms, analytics, and AI/ML use cases.
• Strong SQL (PostgreSQL) and NoSQL (MongoDB) knowledge, data modeling.

Responsibilities

• Lead the design and delivery of large, cross-functional data initiatives.
• Build scalable batch and real-time data pipelines with strong governance.
• Drive root-cause analysis, performance optimization, and data quality improvements.
• Collaborate with product, engineering, analytics, data science, and business leaders on roadmaps.

Skills

Data engineering

Leadership

Mentoring

Roadmap ownership

Architecture reviews

Education

Bachelor’s or Master’s in CS/Data Science/Information Science or related field

Tools

PostgreSQL

MongoDB

Snowflake

AWS

dbt

Kafka

Airflow

Master Data Management (MDM)

Amazon QuickSight

Tableau

Claude Code

Cursor

GitHub Copilot

Terraform

Job description

Florence Healthcare - US seeks a senior Data Engineer to lead the design and delivery of large, cross-functional data initiatives. You will build scalable batch and real-time pipelines, define standards for data modeling, testing, observability, security, and governance, and partner with product, engineering, analytics, data science, and business leaders on roadmap and prioritization.

The ideal candidate has 5+ years in data engineering, a degree in CS/DS/Info Science or equivalent, and deep