Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
100% Travel
Skills
Data Modeling
Data Masking
Data Governance
Data Flow
Data Engineering
Data Processing
Data Quality
Computer Science
Continuous Delivery
Continuous Integration
Dashboard
Data Security
Databricks
Analytics
Apache Spark
Auditing
Business Intelligence
Collaboration
DevOps
ELT
Extract
Transform
Load
Meta-data Management
Microsoft Azure
Microsoft Power BI
Microsoft SQL Server
Modeling
Optimization
Pandas
Performance Tuning
PySpark
Python
Real-time
Regulatory Compliance
Reporting
SQL
Semantics
Streaming
Terraform
Microsoft
Unity
Visualization
Workflow
Job Details
Role: Senior Data Engineer Azure & Fabric (Only Locals)
Location: Atlanta, Georgia - In Person Interview
Required Qualifications:
- Overall, 8+ years of experience required.
- 3+ years of experience in data engineering or analytics engineering roles.
- Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization.
- Hands-on experience with Azure Databricks (Spark, Delta Lake), Microsoft Fabric (Dataflows, Pipelines, OneLake), SQL and Python (Pandas, PySpark), SQL Server 2019+.
- Familiarity with data modeling, data governance, and data security best practices.
- Strong understanding of ETL/ELT processes, data quality, and schema design.
- Bachelor s degree in computer science, Data Engineering, or related field.
Preferred Skills:
- Experience with Power BI datasets and semantic modeling.
- Knowledge of Microsoft Purview, Unity Catalog, or similar governance tools.
- Exposure to real-time data processing and streaming architectures.
- Knowledge of federal/state compliance requirements for data handling.
- Familiarity with Azure DevOps, Terraform, or CI/CD for data pipelines.
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.
Data Governance & Security:
- Apply data classification and tagging based on DECAL s data governance framework.
- Implement row-level security, data masking, and audit logging as per compliance requirements.
- Support integration with Microsoft Purview for lineage and metadata management.
Data Modeling:
- Dimensional modelling.
- Real-time data modeling patterns.
Reporting & Visualization Support:
- Partner with BI developers to ensure data models are optimized for Power BI.
- Provide curated datasets that align with reporting requirements and business logic.
- Create BI dashboards and train users.
DevOps & Automation:
- Support CI/CD pipelines for data workflows using Azure DevOps.
- Assist in monitoring, logging, and performance tuning of data jobs and clusters.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.