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Azure Adf Jobs in Georgia (NOW HIRING)

Blue Sentry Cloud

$53.50 - $71.75/hr

Highly regulated industry experience (e.g. finance, healthcare) * AWS and Azure Professional level certifications * ETL or data pipeline experience (DataStage, ADF, Glue, Airflow, or similar)

BSC Analytics

$150K - $175K/yr

Highly regulated industry experience (e.g. finance, healthcare) * AWS and Azure Professional level certifications * ETL or data pipeline experience (DataStage, ADF, Glue, Airflow, or similar)

ABM Industries, Inc.

Director of AI Engineering

Cumming, GA · On-site

$143K - $205K/yr

Azure (Synapse, ADF, Databricks), AWS, Google Cloud, Snowflake. • Programming & Frameworks: Python, TensorFlow, PyTorch, Hugging Face, Scikit-learn, SQL. • Expertise and knowledge of OpenAI's GPT ...

Paul Hastings

Senior Data Engineer

Atlanta, GA

$194K/yr

Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake Storage (ADLS) andAzure Databricks; * Develop ELT frameworks for ingesting and transforming structured ...

neptune technologies

Software Engineer (BI)

Duluth, GA · On-site

Design and implement data integration and orchestration workflows using Azure Data Factory (ADF) for cloud-based data solutions. * Perform performance tuning and optimization of ETL processes to meet ...

Patientco

Technical Manager, Data Engineering

Atlanta, GA

$110K - $132K/yr

Experience with Snowflake and Azure Data Factory (ADF) * Knowledge of data mesh / domain-driven data ownership models * Experience driving engineering standards across distributed teams ABOUT WAYSTAR ...

New

Waystar

Technical Manager, Data Engineering

Atlanta, GA · On-site

$110K - $132K/yr

Experience with Snowflake and Azure Data Factory (ADF) * Knowledge of data mesh / domain-driven data ownership models * Experience driving engineering standards across distributed teams ABOUT WAYSTAR ...

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Azure Adf information

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How much do azure adf jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for azure adf in Georgia is $49.31, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $55.43 per hour, depending on experience, location, and employer.

What is Azure ADF?

Azure ADF, or Azure Data Factory, is a cloud-based data integration service provided by Microsoft Azure. It allows you to create, schedule, and orchestrate data workflows and pipelines to move and transform data from various sources to data storage solutions or analytics platforms. Azure ADF supports data movement between on-premises and cloud data sources and provides rich data transformation capabilities using data flows or by integrating with other Azure services. It is commonly used for ETL (Extract, Transform, Load) processes, data migration, and data integration scenarios.

What is the difference between Azure Adf vs Azure Data Engineer?

AspectAzure AdfAzure Data Engineer
CertificationsAzure Data Factory certifications, Azure certificationsAzure Data Engineer certifications, Azure certifications
Work EnvironmentCloud data integration and orchestration platformDesigning, building, and maintaining data pipelines in cloud and on-premises environments
Employer & Industry UsageUsed by organizations implementing cloud data workflowsUsed by companies managing large-scale data solutions and analytics

Azure Adf focuses on data integration and workflow automation using Azure Data Factory, while Azure Data Engineer handles designing and maintaining data pipelines across various platforms. Both roles require Azure certifications and are integral to cloud data management, but Azure Adf is more specialized in orchestration, whereas Azure Data Engineer covers broader data engineering tasks.

What are some common challenges faced by Azure Data Factory (ADF) developers during data pipeline implementation?

Azure Data Factory developers often encounter challenges such as managing complex data transformations, optimizing pipeline performance, and handling data integration across diverse sources. Debugging and monitoring pipeline failures can also be demanding, especially in large-scale, automated workflows. Collaborating with data engineers, data analysts, and cloud architects is essential to ensure smooth deployment and continuous improvement of data solutions. Staying up-to-date with ADF's evolving features and best practices can help overcome many of these challenges.

What are the key skills and qualifications needed to thrive as an Azure Data Factory (ADF) developer, and why are they important?

To thrive as an Azure Data Factory Developer, you need strong skills in data integration, ETL (Extract, Transform, Load) processes, and cloud data warehousing, often supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Azure SQL Database, and related tools such as Azure Data Lake, along with certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valued. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with teams and stakeholders. These skills ensure seamless data pipeline development, efficient data management, and the successful delivery of cloud-based data solutions.
What are popular job titles related to Azure Adf jobs in Georgia? For Azure Adf jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Azure Adf jobs in Georgia look for? The top searched job categories for Azure Adf jobs in Georgia are:
Azure Adf jobs near you
Infographic showing various Azure Adf job openings in Georgia as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,573 per year, or $49.3 per hour.

Data Analytics Analyst III

4pconsultinginc

Atlanta, GA • On-site

Contractor

Re-posted yesterday

Job description

Position: Data Analytics Analyst III { GC & US Citizen only}

Location: Atlanta, Ga 30308
Duration: 6 Months
Client: Georgia Power
 

Position Overview

We are seeking an experienced Data Analytics Analyst III with strong expertise in data modeling, Power BI, SQL, and Azure-based analytics environments.

This role blends advanced analytics, BI development, and cloud-based data preparation within a modern lakehouse architecture (Databricks / Delta Lake). The ideal candidate can translate business questions into structured analytical datasets and actionable dashboards while coordinating small-to-mid-sized analytics workstreams.

Key Responsibilities

Data Modeling & Architecture

  • Design and implement dimensional and relational data models:
    • Star schema
    • Conceptual, logical, and physical models
    • Enterprise data structures
  • Apply best practices for performance optimization and scalability.

SQL & Data Engineering

  • Develop advanced SQL queries across relational databases:
    • Azure SQL
    • SQL Server
    • PostgreSQL
  • Work within Databricks and Delta Lake notebook environments.
  • Support ETL/ELT processes, data validation, and data performance tuning.

Business Intelligence & Reporting

  • Develop and maintain enterprise dashboards using Power BI.
  • Create semantic models using:
    • DAX
    • Power Query (M)
  • Apply visualization best practices and dashboard UI/UX standards.
  • Translate business requirements into analytical datasets and KPIs.

Data Preparation & Cloud Analytics

  • Work within Azure analytics ecosystems:
    • Azure Data Factory
    • Azure Synapse
    • Microsoft Fabric
  • Utilize Databricks SQL or Spark SQL for advanced analytical queries.

Project & Stakeholder Coordination

  • Coordinate small to mid-sized analytics projects or workstreams.
  • Partner with business stakeholders to clarify requirements.
  • Provide data-driven insights to support strategic decisions.

Required Qualifications

  • 5–10 years of experience in data analytics or BI roles.
  • Strong experience with:
    • Data modeling (dimensional/star schema)
    • SQL and relational databases
    • Power BI (DAX, Power Query, dataset modeling)
  • Hands-on experience with:
    • Databricks
    • Delta Lake
    • Notebook-based development
  • Strong Excel skills:
    • Power Query
    • Power Pivot
    • Advanced formulas
  • Ability to convert business questions into structured analytical outputs.

Preferred Qualifications

  • Experience with:
    • Power Apps
    • Power Automate
  • Exposure to Azure analytics tools (ADF, Synapse, Fabric).
  • Experience with Python or R for data transformation.
  • Knowledge of:
    • Data governance
    • Metadata management
    • Data stewardship
  • Familiarity with Spark SQL or Databricks SQL.

Technical Skills Summary

  • SQL (Azure SQL / SQL Server / PostgreSQL)
  • Power BI (DAX / M / Semantic Modeling)
  • Databricks / Delta Lake
  • Data Modeling (Star Schema / Lakehouse)
  • ETL / ELT Concepts
  • Excel (Advanced)
  • Azure Cloud Analytics
  • Spark SQL (Preferred)

Core Competencies

  • Strong analytical and critical thinking skills
  • Business translation capability (technical ↔ business)
  • Attention to data quality and validation
  • Project coordination and stakeholder management
  • Ability to work in cloud-based, modern data ecosystems