Syntricate Technologies
Sr. Data Engineer Atlanta, Georgia
Syntricate Technologies, Atlanta, Georgia, United States, 30383
Title : Sr. Data Engineer
Start Date : 11/17/2025
End Date : 06/30/2026
Position Type : Contract
Location : Atlanta, Georgia 30334
Agency Interview Type:Either Web Cam or In Person
Work Arrangement:Hybrid
Short Description: Under broad supervision, combines strong technical skills with knowledge of database administration. Works on one or more projects of high complexity. Provides technical support to development team members.
Complete Description: We are seeking a motivated Data Engineer to join our team and support the modernization of our data estate. This role focuses on assisting with data pipeline development, migration of legacy systems, and maintaining scalable, secure, and efficient data solutions using modern technologies, particularly Microsoft Fabric and Azure-based platforms.
Work Location & Attendance • Must be physically located in Georgia • On-site: Tuesday to Thursday (per manager's discretion) • Mandatory in-person meetings: All Hands, Enterprise Applications, • Position Type: Full-Time • Experience Required: 2-3 years
Key Responsibilities • Assist in designing, building, and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks. • Support migration and maintenance of SSIS packages from legacy systems. • Implement medallion architecture (Bronze, Silver, Gold) for data lifecycle and quality. • Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark. • Build curated datasets to support Power BI dashboards. • Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets. • Apply data governance policies in line with Microsoft Purview or Unity Catalog. • Support monitoring, logging, and CI/CD automation using Azure DevOps.
Technical Stack • Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake) • Azure Databricks • SQL Server / SQL Managed Instances • Power BI • SSIS (migration and maintenance) • LangGraph and RAG DB (for advanced data workflows)
Qualifications • Bachelor's degree in computer science, Information Systems, or related field. • 2-3 years of experience in data engineering or related roles. • Proficiency in SQL, Python, Spark. • Familiarity with LangGraph and RAG DB concepts. • Hands-on experience with Microsoft Fabric and Power BI. • Understanding of ETL/ELT pipelines and data warehousing concepts.
Preferred • Knowledge of CI/CD automation with Azure DevOps. • Familiarity with data governance tools (Microsoft Purview, Unity Catalog). • Experience with SSIS package migration and maintenance.
Skills: Skill Required / Desired Amount of Experience Expertise Rating Move Bachelor's degree in computer science, Information Systems, or related field. Required Years 3-5 years of experience in data engineering or related roles. Required Years Familiarity with LangGraph and RAG DB concepts. Required Years Understanding of ETL/ELT pipelines and data warehousing concepts. Required Years Knowledge of CI/CD automation with Azure DevOps. Nice to have Years Familiarity with data governance tools (Microsoft Purview, Unity Catalog). Nice to have Years Experience with SSIS package migration and maintenance. Nice to have Years
Agency Interview Type: Either Web Cam or In Person
Work Arrangement: Hybrid
Short Description: Under broad supervision, combines strong technical skills with knowledge of database administration. Works on one or more projects of high complexity. Provides technical support to development team members.
Complete Description: We are seeking a motivated Data Engineer to join our team and support the modernization of our data estate. This role focuses on assisting with data pipeline development, migration of legacy systems, and maintaining scalable, secure, and efficient data solutions using modern technologies, particularly Microsoft Fabric and Azure-based platforms.
Work Location & Attendance • Must be physically located in Georgia • On-site: Tuesday to Thursday (per manager's discretion) • Mandatory in-person meetings: All Hands, Enterprise Applications, • Position Type: Full-Time • Experience Required: 2-3 years
Key Responsibilities • Assist in designing, building, and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks. • Support migration and maintenance of SSIS packages from legacy systems. • Implement medallion architecture (Bronze, Silver, Gold) for data lifecycle and quality. • Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark. • Build curated datasets to support Power BI dashboards. • Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets. • Apply data governance policies in line with Microsoft Purview or Unity Catalog. • Support monitoring, logging, and CI/CD automation using Azure DevOps.
Technical Stack • Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake) • Azure Databricks • SQL Server / SQL Managed Instances • Power BI • SSIS (migration and maintenance) • LangGraph and RAG DB (for advanced data workflows)
Qualifications • Bachelor's degree in computer science, Information Systems, or related field. • 2-3 years of experience in data engineering or related roles. • Proficiency in SQL, Python, Spark. • Familiarity with LangGraph and RAG DB concepts. • Hands-on experience with Microsoft Fabric and Power BI. • Understanding of ETL/ELT pipelines and data warehousing concepts.
Preferred • Knowledge of CI/CD automation with Azure DevOps. • Familiarity with data governance tools (Microsoft Purview, Unity Catalog). • Experience with SSIS package migration and maintenance.
Skills: Skill Required / Desired Amount of Experience Expertise Rating Move Bachelor's degree in computer science, Information Systems, or related field. Required Years 3-5 years of experience in data engineering or related roles. Required Years Familiarity with LangGraph and RAG DB concepts. Required Years Understanding of ETL/ELT pipelines and data warehousing concepts. Required Years Knowledge of CI/CD automation with Azure DevOps. Nice to have Years Familiarity with data governance tools (Microsoft Purview, Unity Catalog). Nice to have Years Experience with SSIS package migration and maintenance. Nice to have Years
Agency Interview Type: Either Web Cam or In Person
Work Arrangement: Hybrid