Data Engineer - ETL & Modern Data Pipelines (On-site GA)

Randstad Digital Americas; Atlanta (GA); On-site; USD 76,000 - 85,000; Full time

Job summary

Randstad Digital Americas in Atlanta, GA is seeking a full-time Data Engineer with 3-5 years of experience to support data modernization, develop ETL/ELT pipelines, migrate SSIS packages, and build curated datasets for Power BI using Microsoft Fabric and Azure Databricks.

Candidates should be proficient in SQL, Python, and Spark and have a bachelor's degree in computer science, Information Systems, or a related field.

Qualifications

• Bachelor's degree in computer science, Information Systems, or related field.
• 3-5 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.

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.

Skills

SQL

Python

Spark

ETL/ELT

Data warehousing

CI/CD

Data governance

Education

Bachelor's degree in computer science or Information Systems

Tools

Microsoft Fabric

Azure Databricks

Power BI

SSIS

LangGraph

RAG DB

SQL Server

Job description

Randstad Digital Americas in Atlanta, GA is seeking a full-time Data Engineer with 3-5 years of experience to support data modernization, develop ETL/ELT pipelines, migrate SSIS packages, and build curated datasets for Power BI using Microsoft Fabric and Azure Databricks.

Candidates should be proficient in SQL, Python, and Spark and have a bachelor's degree in computer science, Information Systems, or a related field.