Overview
On Site
BASED ON EXPERIENCE
Full Time
Contract - Independent
Contract - W2
Skills
Legacy Systems
Management
Dashboard
Collaboration
Data Flow
Databricks
Microsoft SQL Server
Workflow
Computer Science
Information Systems
Data Engineering
SQL
Python
Apache Spark
Database
Microsoft Power BI
Extract
Transform
Load
ELT
Data Warehouse
Continuous Integration
Continuous Delivery
Microsoft Azure
DevOps
Data Governance
Microsoft
Unity
Microsoft SSIS
Migration
IT Consulting
Staff Augmentation
Information Technology
Insurance
Life Insurance
SANS
Job Details
Sr. Data Engineer
Hybrid
About the Job
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
DataSoft Technologies is a highly recognized provider of professional IT Consulting services in the US. Founded in 1994, DataSoft Technologies, Inc. provides staff augmentation services for Information Technology and Automotive Services. Our team member benefits include:
Hybrid
About the Job
- Duration: 6+ months Contract (possibility of extension)
- Location: - Hybrid: Atlanta, GA
- Pay rate: Hourly, depending on experience
- Job ID: 778831
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, All Staff
- Position Type: Full-Time
- Experience Required: 2-3 years
- 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.
- 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)
- 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.
- Knowledge of CI/CD automation with Azure DevOps.
- Familiarity with data governance tools (Microsoft Purview, Unity Catalog).
- Experience with SSIS package migration and maintenance.
DataSoft Technologies is a highly recognized provider of professional IT Consulting services in the US. Founded in 1994, DataSoft Technologies, Inc. provides staff augmentation services for Information Technology and Automotive Services. Our team member benefits include:
- Paid Holidays/Paid Time Off (PTO)
- Medical/Dental Insurance
- Vision Insurance
- Short Term/Long Term Disability
- Life Insurance
- 401 (K)
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.