Data Engineer
Listed on 2026-10-10
-
IT/Tech
Data Engineering, Data Warehousing
Agency Interview Type:
Either Web Cam or In Person
Engagement Type: Contract
NOTE
:
Applications with resumes in PDF Format will be automatically rejected. Only Word format resumes will be considered.
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.
Must be physically located in metro Atlanta.
On-site:
Tuesday to Thursday, per managers discretion
Mandatory in-person meetings:
o All Hands
o Enterprise Applications
o DECAL All Staff
Work arrangements subject to managements discretion
Experience
Required:
5+ years
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 sun setting 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 Dev Ops for data workflows.
Provide support during data migration and cutover events, ensuring minimal disruption.
Technical Stack:Microsoft Fabric
SQL Server / SQL Managed Instances
Power BI (including semantic models and datasets)
SSRS (for legacy support and decommissioning)
Qualifications:Bachelors 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, One Lake)
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 Dev Ops
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.
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