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Job Requirements of Data Network Engineer:
-
Employment Type:
Contractor
-
Location:
Atlanta, GA (Onsite)
Do you meet the requirements for this job?
Data Network Engineer
Careers Integrated Resources Inc
Atlanta, GA (Onsite)
Contractor
Immediate Opening
Title: Data Network Engineer
Location: Atlanta, Georgia 30334 United States (On-site: Tuesday to Thursday, per manager s discretion)
Interviews Either Web Cam or In Person
Job Type: Contract
Job Duration: Approx. 09+ months (High possibility of longer extensions, with budget approvals)
Client: Public Sector Direct Client
Job Description:
Key Responsibilities:
Technical Stack:
Qualifications:
Preferred Qualifications:
Soft Skills:
This role is critical to our shift toward a modern data platform and offers the opportunity to influence our architectural decisions and technical roadmap.
Skills Matrix: Skill Required Amount of Experience Experience Experience in data engineering roles, preferably in government or regulated environments Required 5 Years Hands-on experience with Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake) Required 5 Years Experience with Power BI data modeling and dashboard development Required 5 Years Familiarity with data governance tools (Microsoft Purview, Unity Catalog) Required 5 Years Solid understanding of ETL/ELT pipelines, data warehousing concepts, and schema design Required 5 Years Bachelor s degree in Computer Science, Information Systems, or related field Required
Title: Data Network Engineer
Location: Atlanta, Georgia 30334 United States (On-site: Tuesday to Thursday, per manager s discretion)
Interviews Either Web Cam or In Person
Job Type: Contract
Job Duration: Approx. 09+ months (High possibility of longer extensions, with budget approvals)
Client: Public Sector Direct Client
Job Description:
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.
Skills Matrix: Skill Required Amount of Experience Experience Experience in data engineering roles, preferably in government or regulated environments Required 5 Years Hands-on experience with Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake) Required 5 Years Experience with Power BI data modeling and dashboard development Required 5 Years Familiarity with data governance tools (Microsoft Purview, Unity Catalog) Required 5 Years Solid understanding of ETL/ELT pipelines, data warehousing concepts, and schema design Required 5 Years Bachelor s degree in Computer Science, Information Systems, or related field Required
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