Avacend Inc

Sr. Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer in Atlanta, GA, with a contract length of "unknown." The pay rate is "unknown." Candidates must have a Bachelor's degree and 2–3 years of experience in data engineering, with skills in SQL, Python, Spark, and Microsoft Fabric.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 15, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#SQL Server #Datasets #DevOps #SQL (Structured Query Language) #SSIS (SQL Server Integration Services) #Azure Databricks #Data Governance #Monitoring #Data Analysis #Data Engineering #Migration #Spark (Apache Spark) #Microsoft Power BI #"ETL (Extract #Transform #Load)" #Dataflow #Automation #Azure DevOps #Data Pipeline #Computer Science #BI (Business Intelligence) #Azure #Data Lifecycle #Logging #Python #Databricks
Role description
Sr. Data Engineer Atlanta, GA Work Location & Attendance • Must be physically located in Georgia • On-site: Tuesday to Thursday (per manager’s discretion) 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.