Overview
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
100% Travel
Skills
Analytical Skill
Computer Science
Conflict Resolution
Data Security
Data Warehouse
Databricks
Data Governance
Data Masking
Data Migration
Data Modeling
Data Quality
Continuous Delivery
Continuous Integration
Dashboard
Data Engineering
Management
Data Flow
DevOps
ELT
Extract
Transform
Load
FIPS
Information Systems
Analytics
Apache Spark
Business Intelligence
Collaboration
Communication
Microsoft
Microsoft Azure
Microsoft Power BI
Microsoft SSRS
Problem Solving
Python
Real-time
Regulatory Compliance
Reporting
SQL
Semantics
Unity
Use Cases
Workflow
Job Details
Role: Data Engineer Microsoft Fabric & Azure Databricks (Locals Only)
Location: Metro Atlanta, Georgia (Hybrid)
Key Responsibilities:
- Eexperience in data engineering roles, preferably in government or regulated environments
- Design, build, and maintain scalable ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.
- Implement medallion architecture (Bronze, Silver, Gold) to support data lifecycle and data quality.
- Support the sunsetting of legacy SQL-based infrastructure and SSRS, ensuring data continuity and stakeholder readiness.
- Create and manage notebooks (e.g., Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark.
- Build and deliver curated datasets and analytics models to support Power BI dashboards and reports.
- Develop dimensional and real-time data models for analytics use cases.
- Collaborate with data analysts, stewards, and business stakeholders to deliver fit-for-purpose data assets.
- Apply data governance policies including row-level security, data masking, and classification in line with Microsoft Purview or Unity Catalog.
- Ensure monitoring, logging, and CI/CD automation using Azure DevOps for data workflows.
- Provide support during data migration and cutover events, ensuring minimal disruption.
Technical Stack:
- Microsoft Fabric
- Azure Databricks
- SQL Server / SQL Managed Instances
- Power BI (including semantic models and datasets)
- SSRS (for legacy support and decommissioning)
Qualifications:
- Bachelor s degree in Computer Science, Information Systems, or related field
- 5+ years of experience in data engineering roles, preferably in government or regulated environments
- Proficiency in SQL, Python, Spark.
- Hands-on experience with Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake)
- Experience with Power BI data modeling and dashboard development
- Familiarity with data governance tools (Microsoft Purview, Unity Catalog)
- Solid understanding of ETL/ELT pipelines, data warehousing concepts, and schema design
- Strong communication and collaboration skills.
Preferred Qualifications:
- Certifications such as Microsoft Certified: Fabric Analytics Engineer or Azure Data Engineer Associate
- Knowledge of CI/CD automation with Azure DevOps
- Familiarity with data security and compliance (e.g., FIPS 199, NIST)
- Experience managing sunset and modernization of legacy reporting systems like SSRS
Soft Skills:
- Strong analytical thinking and problem-solving abilities
- Ability to collaborate across multidisciplinary teams
- Comfort in fast-paced and evolving technology environments
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.