Overview
Hybrid
$50 - $60
Accepts corp to corp applications
Contract - W2
No Travel Required
Skills
ETL
Azure Databricks
Microsoft Fabric
Python
Spark
SQL
ACID
Azure
ADLS
Gen 2
Delta Lake
Job Details
Role: Analytics Engineer
Location: Atlanta, GA - Hybrid
Interview Type: Either Webcam or In Person
Experience: 8+ years
Short Description:
Under general supervision, combines strong technical skills with knowledge of the database administration. Works on one or more projects of high complexity.
Job Description:
The Analytics Engineer will contribute to our modern data estate strategy by developing scalable data solutions using Microsoft Fabric and Azure Databricks. This role will be instrumental in building resilient data pipelines, transforming raw data into curated datasets, and delivering analytics-ready models that support enterprise-level reporting and decision-making.
The Analytics Engineer will contribute to our modern data estate strategy by developing scalable data solutions using Microsoft Fabric and Azure Databricks. This role will be instrumental in building resilient data pipelines, transforming raw data into curated datasets, and delivering analytics-ready models that support enterprise-level reporting and decision-making.
Work Location & Attendance Requirements:
Must be physically located in Georgia
On-site: Tuesday to Thursday, per manager's discretion
Mandatory in-person meetings:
o All Hands
o Enterprise Applications
o On-site meetings
o DECAL All Staff
Work arrangements subject to management's decision
Key Responsibilities:
Data Engineering & Pipeline Development
Build and maintain ETL/ELT pipelines using Azure Databricks and Microsoft Fabric.
Implement medallion architecture (Bronze, Silver, Gold layers) to support data lifecycle and quality.
Develop real-time and batch ingestion processes from IES Gateway and other source systems.
Ensure data quality, validation, and transformation logic is consistently applied.
Use Python, Spark, and SQL in Databricks and Fabric notebooks for data transformation.
Delta Lake: Implementing Delta Lake for data versioning, ACID transactions, and schema enforcement.
Integration with Azure Services: Integrating Databricks with other Azure services like Azure One Lake, Azure ADLS Gen2, and Microsoft fabric.
Data Modeling & Curation
Collaborate with the Domain Owners to design dimensional and real-time data models.
Create analytics-ready datasets for Power BI and other reporting tools.
Standardize field naming conventions and schema definitions across datasets.
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