Senior Data Engineer

Brooksource
Atlanta, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Atlanta, United States of America

Tech stack

Airflow
Azure
Continuous Integration
Information Engineering
Data Infrastructure
ETL
Data Transformation
Data Systems
Data Warehousing
Relational Databases
Database Queries
Dimensional Modeling
Microsoft SQL Server
NoSQL
Performance Tuning
Power BI
SQL Server Integration Services
Data Streaming
Workflow Management Systems
Freeform SQL
Cloud Platform System
Spark
Data Lake
Git Flow
Star Schema
Data Pipelines
Databricks

Job description

We are seeking a Senior Data Engineer to support enterprise data and analytics initiatives within a large-scale, production-critical environment. This role will focus on building, maintaining, and optimizing data pipelines across a hybrid on-prem and cloud ecosystem, with a strong emphasis on modern data engineering practices and lakehouse architecture.

This is a highly visible role supporting operational and analytics teams, where you will play a key part in transforming raw data into reliable, structured datasets used across the business., * Design, build, and optimize batch and streaming data pipelines

  • Develop and maintain ETL workflows using SSIS or similar tools
  • Write and optimize complex SQL queries within SQL Server environments
  • Design and maintain dimensional data models (star schema)
  • Transform raw data into curated datasets for analytics and reporting
  • Support business intelligence efforts, including Power BI reporting
  • Work across relational databases, data lakes, and NoSQL systems
  • Collaborate with cross-functional teams to deliver production-ready data solutions

Requirements

  • 5+ years of experience in data engineering or related roles
  • Strong SQL skills with experience in performance tuning
  • Hands-on ETL experience (SSIS or equivalent)
  • Experience with SQL Server environments
  • Strong understanding of data modeling (star schema / dimensional modeling)
  • Experience supporting analytics and reporting workflows

Preferred:

  • Experience with Databricks, Spark, or modern data platforms
  • Exposure to cloud environments (Azure preferred)
  • Experience with orchestration tools (Airflow or similar)
  • Familiarity with CI/CD and Git-based workflows

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