Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Skills
Analytical Skill
Analytics
Apache Spark
Collaboration
Communication
Conflict Resolution
Continuous Delivery
Continuous Integration
Dashboard
Data Engineering
Data Flow
Data Governance
Data Masking
Data Migration
Data Modeling
Data Quality
Data Security
Data Warehouse
Database Administration
Databricks
Decision-making
DevOps
ELT
Extract
Transform
Load
FIPS
Infrastructure Architecture
Legacy Systems
Management
Microsoft
Microsoft Azure
Microsoft Power BI
Microsoft SQL Server
Microsoft SSRS
Migration
Problem Solving
Python
Real-time
Regulatory Compliance
Reporting
Roadmaps
SQL
Semantics
Supervision
Unity
Use Cases
Visualization
Workflow
Job Details
Title: DECAL Data Network Engineer
Location: Atlanta, GA
Agency Interview Type: Either Web Cam or In Person
Work Arrangement: Hybrid
Short Description:
Under general supervision, combines strong technical skills with knowledge of the database administration. Works on one or more projects of high complexity.
Complete Description:
The Dept. of Early Care & Development (DECAL) is seeking a highly skilled and proactive Data Engineer to join our dynamic team and support the modernization of our data estate. This role is integral to the migration from legacy systems and the development of scalable, secure, and efficient data solutions using modern technologies, particularly Microsoft Fabric and Azure-based platforms. The successful candidate will contribute to data infrastructure design, data modeling, pipeline development, and visualization delivery to enable data-driven decision-making across the enterprise.
Work Location & Attendance Requirements:
Must be physically located in metro Atlanta.
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 discretion
Experience Required: 5+ years
Key Responsibilities:
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
This role is critical to our shift toward a modern data platform and offers the opportunity to influence our architectural decisions and technical roadmap.
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.