Role: Data Engineer Location: Atlanta, GA Duration: 10+ month (extendable upto 12 months) Interview: Either Web Cam or In Person Hybrid Schedule - Candidate should be able to work on-site 3 days a week (Tuesday to Thursday) Job Description: The Client 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: All Hands Enterprise Applications On-site meetings 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 MicrosoftFabric and Azure Databricks. Implement medallion architecture (Bronze, Silver, Gold) to support datalifecycle and data quality. Support the sunsetting of legacy SQL-based infrastructure and SSRS, ensuringdata continuity and stakeholder readiness. Create and manage notebooks (e.g., Fabric Notebooks, Databricks) for datatransformation using Python, SQL, and Spark. Build and deliver curated datasets and analytics models to support Power BIdashboards and reports. Develop dimensional and real-time data models for analytics use cases. Collaborate with data analysts, stewards, and business stakeholders to deliverfit-for-purpose data assets. Apply data governance policies including row-level security, data masking, andclassification in line with Microsoft Purview or Unity Catalog. Ensure monitoring, logging, and CI/CD automation using Azure DevOps fordata workflows. Provide support during data migration and cutover events, ensuring minimaldisruption. 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, andschema design Strong communication and collaboration skills. Preferred Qualifications: Certifications such as Microsoft Certified: Fabric Analytics Engineer or AzureData 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 systemslike 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 theopportunity to influence our architectural decisions and technical roadmap. Required/Desired Skills: Experience in data engineering roles, preferably in government or regulated environments 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, UnityCatalog) Solid understanding of ETL/ELT pipelines, data warehousing concepts, and schema design Bachelor's degree in Computer Science, Information Systems, or related field