Senior Data Science & Analytics Engineer

Atrium; Acworth (GA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health, dental, vision benefits

401(k) retirement plan

Life insurance

Job summary

Atrium is seeking a Senior Data Science Analyst for our client to design data solutions, build pipelines and BI reporting for cross-functional teams in Acworth, GA.

The role spans data engineering, architecture, and BI, collaborating with stakeholders to translate requirements into scalable technical solutions while maintaining data quality and governance.

Experience with Power BI, SQL, Python, and cloud platforms such as Azure or Fabric is preferred.

Qualifications

• 4–7 years of data engineering experience.
• Microsoft Fabric required; experience with Databricks, Snowflake, or similar.
• Advanced Power BI, SQL, data modeling, and ETL/ELT experience.
• Python for integrations/API development.
• Azure or comparable cloud platform experience.
• Familiarity with Git, CI/CD, and machine learning workflows.
• Strong communication and business partnering skills.
• Bachelor’s degree in a related field or equivalent experience.

Responsibilities

• Design and maintain scalable data architecture and ELT/ETL pipelines.
• Integrate data from ERP, CRM, e-commerce, warehouse, and other systems.
• Build custom API/connectors using Python.
• Develop Power BI datasets, models, dashboards, DAX, and Power Query solutions.
• Write and optimize complex SQL.
• Support ML data workflows and maintain data quality, security, and governance.
• Partner with business stakeholders to translate requirements into technical solutions.

Skills

Data engineering

SQL

Power BI

Python

Azure

ETL/ELT

Git & CI/CD

ML workflows

Stakeholder communication

Education

Bachelor’s degree or equivalent

Tools

Databricks

Snowflake

Microsoft Fabric

Job description

Atrium is seeking a Senior Data Science Analyst for our client to design data solutions, build pipelines and BI reporting for cross-functional teams in Acworth, GA.

The role spans data engineering, architecture, and BI, collaborating with stakeholders to translate requirements into scalable technical solutions while maintaining data quality and governance.

Experience with Power BI, SQL, Python, and cloud platforms such as Azure or Fabric is preferred.