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Adf Jobs in Georgia (NOW HIRING)

Patientco

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 ...

Waystar

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 ...

Crew Career Center

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 ...

Apex Systems

Technical Product Manager

Atlanta, GA · On-site

$160K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Work with ETL and ELT technologies including Spark, dbt, ADF, Airflow, and related platforms * Define and enforce data contracts, SLAs, and quality controls EEO Employer Apex Systems is an equal ...

Paul Hastings

Senior Data Engineer

Atlanta, GA · On-site

$194K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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All JobsAdf JobsAdf Jobs in Georgia

Adf information

See Georgia salary details

$48

$60

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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 are popular job titles related to Adf jobs in Georgia?

For Adf jobs in Georgia, the most frequently searched job titles are:

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:

Adf jobs near you
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.

Manager, Data Engineering

Patientco

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Posted 15 days ago

Job description

ABOUT THIS POSITION

We are seeking a Technical Manager, Data Engineering, to lead and scale Waystar's data engineering function while actively contributing to the delivery of our modern data platform. This role combines people leadership, technical ownership, and hands-on engineering to drive execution across our BigQuery-based data platform.
You will be responsible for managing a team of data engineers, setting technical directions, and ensuring the successful delivery of scalable ingestion and transformation pipelines across a Medallion architecture (Bronze/Silver/Gold) on Google Cloud Platform (GCP). This leader will partner closely with platform leadership, governance, and business domains to establish a reliable, governed, and high-performing data ecosystem.

WHAT YOU'LL DO

Team Leadership & Delivery Ownership

  • Lead, mentor, and scale a team of data engineers supporting multiple business domains
  • Drive delivery accountability, sprint execution, and engineering best practices
  • Establish development standards, code reviews, and performance expectations
  • Manage capacity, workload balance, and resource planning across initiatives
  • Partner with leadership to align engineering priorities with strategic goals

Technical Leadership & Architecture

  • Define and enforce data engineering standards, patterns, and best practices
  • Provide hands-on technical leadership across BigQuery, dbt, and ingestion frameworks
  • Guide architecture decisions for scalable, secure, and cost-efficient data pipelines
  • Lead design of domain-aligned, reusable data models and pipelines
  • Ensure alignment with governance, data classification, and access control frameworks

Pipeline Engineering & Delivery (Hands-On)

  • Design, build, and maintain ELT pipelines into BigQuery using Fivetran and custom APIs
  • Oversee and contribute to development of bronze, silver, and gold layers
  • Support and review dbt models, transformations, and orchestration workflows
  • Implement orchestration using Cloud Composer (Managed Airflow)
  • Act as an escalation point for complex technical issues and delivery risks

Data Quality, Observability & Governance

  • Enforce data quality, validation, and monitoring standards across pipelines
  • Implement logging, alerting, and observability frameworks
  • Ensure performance optimization for BigQuery (partitioning, clustering, cost management)
  • Enforce security best practices including IAM roles, data access, and auditability
  • Drive adherence to data lineage, documentation, and governance requirements

Platform Engineering & Enablement

  • Champion CI/CD practices using GitHub and modern deployment pipelines
  • Drive Infrastructure-as-Code standards (Terraform) for platform consistency
  • Improve developer experience, onboarding, and engineering productivity
  • Collaborate with Data Governance and Data Champions to enable domain ownership

What You'll Need

  • 8+ years of data engineering experience with enterprise-scale platforms
  • 2+ years of experience leading or managing data engineering teams
  • Strong hands-on expertise with GCP and BigQuery
  • Advanced experience with dbt (required)
  • Experience with Fivetran and API-based ingestion frameworks
  • Strong Python skills including API integrations and automation
  • Proven experience building scalable ELT pipelines and data models
  • Experience with data quality, validation frameworks, and observability
  • Proficiency with GitHub, CI/CD workflows, and code review practices
  • Strong understanding of data governance, lineage, and access controls
  • Experience working in regulated environments (e.g., healthcare) preferred

WHAT YOU'LL NEED

  • Experience leading teams through cloud data platform migrations (e.g., Snowflake BigQuery)
  • Experience with Terraform (IaC) and platform automation
  • Familiarity with Harness CI/CD and GitHub Actions
  • 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

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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