Overview
On Site
USD 61.93 per hour
Full Time
Skills
Computer Networking
Software Engineering
Supervision
Database Administration
Migration
Legacy Systems
Infrastructure Architecture
Visualization
Decision-making
Data Quality
Real-time
Use Cases
Data Masking
Workflow
Data Migration
Databricks
Microsoft SQL Server
Semantics
Computer Science
Information Systems
Data Engineering
SQL
Python
Apache Spark
Data Flow
Microsoft Power BI
Data Modeling
Dashboard
Data Governance
Unity
Extract
Transform
Load
ELT
Data Warehouse
Communication
Microsoft
Analytics
Continuous Integration
Continuous Delivery
Microsoft Azure
DevOps
Data Security
Regulatory Compliance
FIPS
Management
Reporting
Microsoft SSRS
Soft Skills
Analytical Skill
Conflict Resolution
Problem Solving
Collaboration
Roadmaps
Job Details
DECAL Data Network Engineer (773649)
Pay rate: $61.93 hr
Temp ( 6 months+)
Job location: 2 Martin Luther King Jr. Drive SE, 754 East Tower, Atlanta, Georgia 30334
Hours: 8 hours daily/5 days weekly
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 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.
Pay rate: $61.93 hr
Temp ( 6 months+)
Job location: 2 Martin Luther King Jr. Drive SE, 754 East Tower, Atlanta, Georgia 30334
Hours: 8 hours daily/5 days weekly
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 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.