Pacer Group
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Atlanta, GA, offering a hybrid work environment for 4 days in-office. The contract length is unspecified, with a pay rate of "unknown." Key skills include 5+ years in data engineering, strong SQL, ETL pipeline experience, and familiarity with AI tools.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
-
🗓️ - Date
April 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Atlanta, GA
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Documentation #BI (Business Intelligence) #SSIS (SQL Server Integration Services) #Automation #Cloud #Data Modeling #Databricks #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Spark (Apache Spark) #SQL Server #Microsoft Power BI #Data Engineering
Role description
Senior Data Engineer
Atlanta GA, 30308
Hybrid 4 days in office
Role Overview
We are seeking a Modern Data Engineer (Enterprise + Lakehouse + AI-Assisted) with strong experience in enterprise environments that include a mix of on-premises and cloud technologies.
Required Experience
• 5+ years of experience working with data in a software or data engineering role
• Experience working in enterprise environments with hybrid (on-prem + cloud) technologies
Core Technologies
• Strong SQL skills
• Data modeling experience (including star schema / dimensional models)
• Hands-on experience with SQL Server
• Experience building and maintaining ETL pipelines using SSIS (or similar tools)
• Experience supporting analytics and reporting using Power BI
• Experience with Spark-based platforms, with Databricks Lakehouse as the primary future-state technology
AI & Modern Engineering
• Experience using AI tools or copilots to assist with:
• SQL development
• Pipeline generation
• Testing
• Documentation
• Familiarity with automation or AI agents to streamline engineering workflows is a plus
Senior Data Engineer
Atlanta GA, 30308
Hybrid 4 days in office
Role Overview
We are seeking a Modern Data Engineer (Enterprise + Lakehouse + AI-Assisted) with strong experience in enterprise environments that include a mix of on-premises and cloud technologies.
Required Experience
• 5+ years of experience working with data in a software or data engineering role
• Experience working in enterprise environments with hybrid (on-prem + cloud) technologies
Core Technologies
• Strong SQL skills
• Data modeling experience (including star schema / dimensional models)
• Hands-on experience with SQL Server
• Experience building and maintaining ETL pipelines using SSIS (or similar tools)
• Experience supporting analytics and reporting using Power BI
• Experience with Spark-based platforms, with Databricks Lakehouse as the primary future-state technology
AI & Modern Engineering
• Experience using AI tools or copilots to assist with:
• SQL development
• Pipeline generation
• Testing
• Documentation
• Familiarity with automation or AI agents to streamline engineering workflows is a plus
