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Adf Jobs in Georgia (NOW HIRING)

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks * Write and tune PySpark / Spark SQL notebooks for large-scale data transformation * Architect end-to-end ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks * Write and tune PySpark / Spark SQL notebooks for large-scale data transformation * Architect end-to-end ...

ETL Developer

Atlanta, GA · On-site

$49 - $64.25/hr

Required : • Hands-on experience in Azure Data Factory (ADF) • Experience in designing and implementing ETL processes using Azure Data Factory, Data Flows, and Mapping Data Flows • Ability to ...

lead or architect

Atlanta, GA · On-site

$61 - $79.50/hr

Azure Expertise Deep, hands-on experience with the Azure data ecosystem, including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure Synapse Analytics.Databricks Proficiency Proven ...

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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)

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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)

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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)

Data Engineer

Alpharetta, GA · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Scala, dbt, Kafka/Event Hubs, ADF/Airflow, Terraform, Power BI, data mesh concepts, and SCD patterns. Skills: Spark. PySpark. Azure Databricks. Unity Catalog. Delta Lake. SQL. Python. Azure Data Lake ...

Manager, Data Engineering

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Data Engineer

Alpharetta, GA · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Scala, dbt, Kafka/Event Hubs, ADF/Airflow, Terraform, Power BI, data mesh concepts, and SCD patterns. Skills: * Spark. * PySpark. * Azure Databricks. * Unity Catalog. * Delta Lake. * SQL. * Python.

DevOps Engineer

Alpharetta, GA · On-site

$93K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Architect and manage Azure cloud services including AKS, App Service, ACE, APIM, AFD, ADF, Power apps and App gateway * Familiar with infrastructure as code (IaC); using Terraform for efficient ...

Oracle HCM Director

Atlanta, GA

$155K - $410K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... ADF) and Oracle Business Intelligence (BI) Publisher to develop innovative solutions - Managing project budgeting and workforce planning to align with client strategic objectives - Promoting ...

Manager, Data Engineering

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Showing results 21-40

Adf information

See Georgia salary details

$48

$60

$67

How much do adf jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for adf in Georgia is $60.30, according to ZipRecruiter salary data. Most workers in this role earn between $56.01 and $65.58 per hour, depending on experience, location, and employer.

What is an Azure Data Factory professional?

ADF professionals are specialists skilled in using Azure Data Factory, a cloud-based data integration service from Microsoft. They design, build, and manage data pipelines for moving and transforming data across various sources and destinations. Their work is crucial for businesses that need to automate data workflows, support analytics, and enable data-driven decision-making. ADF professionals often have experience with cloud computing, ETL processes, and data engineering.

What are the key skills and qualifications needed to thrive as an Application Development Framework developer, and why are they important?

To thrive as an ADF Developer, you need strong proficiency in Java, SQL, and web technologies, along with a bachelor's degree in computer science or a related field. Experience with Oracle ADF, JDeveloper, and knowledge of related frameworks and certifications are typically required. Analytical thinking, problem-solving abilities, and effective collaboration skills help developers deliver robust and scalable solutions. These skills are essential for building efficient enterprise applications and ensuring seamless integration with business processes.

What are some common challenges faced by professionals working in the Australian Defence Force?

Working in the Australian Defence Force (ADF) can present unique challenges, such as adapting to a highly structured, disciplined environment and balancing work-life commitments, especially during deployments or training exercises. Members often need to quickly learn new skills, handle stressful situations, and collaborate effectively with diverse teams. Additionally, the requirement to relocate or travel on short notice can impact personal and family life. However, the ADF provides robust support systems, ongoing training, and opportunities for career development to help members succeed.

What is the difference between Adf vs Data Analyst?

AspectAdfData Analyst
Required CredentialsTypically requires certifications like Microsoft Azure Data Factory or similar cloud data integration certificationsUsually requires a bachelor's degree in data science, statistics, or related fields; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentPrimarily cloud-based, focusing on data pipeline development and integration within cloud platformsOften office-based, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed by data engineering teams in tech, finance, and healthcare industries for data pipeline managementEmployed across industries for interpreting data, supporting decision-making, and reporting

While both roles involve working with data, Adf (Azure Data Factory) specialists focus on building data pipelines in cloud environments, whereas Data Analysts analyze and interpret data to inform business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What is an adf job?

An ADF job typically refers to a position involving Oracle Application Development Framework (ADF), a Java-based framework used for building enterprise applications. These roles often require knowledge of Java, JavaServer Faces (JSF), and related development tools, and may involve designing user interfaces, implementing business logic, and working with Oracle middleware environments.

What job categories do people searching Adf jobs in Georgia look for?

The top searched job categories for Adf jobs in Georgia are:

What cities in Georgia are hiring for Adf jobs?

Cities in Georgia with the most Adf job openings:

Infographic showing various Adf job openings in Georgia as of August 2026, with employment types broken down into 78% Full Time, 3% Part Time, and 19% Contract. Highlights an 73% Physical, 13% Hybrid, and 14% Remote job distribution, with an average salary of $125,431 per year, or $60.3 per hour.

Senior Data Engineer

Deloitte

Atlanta, GA • Hybrid

$101K - $138K/yr

Full-time

Re-posted 10 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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