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Adf Jobs in Arizona (NOW HIRING)

Staffingine LLC

NET Solution Architect

Phoenix, AZ · On-site

... ADF Logic App, etc. * Experience in setting up best practices, standards, guidelines, templates, and governance processes involving Data integration, Cloud integration, Security, Real-time ...

Alliance Defending Freedom

Legal Counsel

Phoenix, AZ

$115K - $190K/yr

Want to Know More About ADF? This salary range is reflective of a position based in Lansdowne, VA. This range is a good-faith estimate, and the actual salary may vary based on the candidate ...

Forhyre

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based on functional and ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

... ADF pipelines. · Deep knowledge of healthcare data standards including CMS datasets, FHIR, HL7, X12/EDI, provider data, eligibility, and claims processing. · Strong data modeling experience ...

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

SQL (advanced), dbt or Fabric Dataflows/Power Query M, ADF/Synapse/Fabric Pipelines, Python for ETL/ELT. * Mapping from CMS data (e.g., Medicare datasets, claims/encounters), X12/EDI, FHIR/HL7 ...

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

SQL (advanced), dbt or Fabric Dataflows/Power Query M, ADF/Synapse/Fabric Pipelines, Python for ETL/ELT. * Mapping from CMS data (e.g., Medicare datasets, claims/encounters), X12/EDI, FHIR/HL7 ...

Pwc

Oracle HCM Director

Phoenix, AZ · On-site

$155K - $410K/yr

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

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All JobsAdf JobsAdf Jobs in Arizona

Adf information

See Arizona salary details

$53

$66

$75

How much do adf jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for adf in Arizona is $66.55, according to ZipRecruiter salary data. Most workers in this role earn between $61.83 and $72.36 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 Arizona?

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

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

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

What cities in Arizona are hiring for Adf jobs?

Cities in Arizona with the most Adf job openings:

Adf jobs near you
Infographic showing various Adf job openings in Arizona as of August 2026, with employment types broken down into 83% Full Time, 2% Part Time, 2% Temporary, and 13% Contract. Highlights an 73% Physical, 13% Hybrid, and 14% Remote job distribution, with an average salary of $138,429 per year, or $66.6 per hour.

Ab Initio Migration Specialist

Vista Applied Solutions Group Inc

Phoenix, AZ • On-site

$65/hr

Full-time

Re-posted 3 days ago

Job description

Ab Initio Migration Specialist Ab Initio to Azure Databricks Migration

Role Overview

We are seeking an experienced Ab Initio expert to lead and support the migration of legacy Ab Initio workloads to Azure Databricks. The candidate will serve as the onshore technical subject matter expert, bridging business stakeholders and offshore delivery teams while ensuring data accuracy and delivery quality throughout the migration.

Scope of Engagement

•  Act as the key Ab Initio SME for the migration of Ab Initio graphs and plans to Azure Databricks ETL jobs, covering assessment, conversion, validation, and cutover.

•  Translate Ab Initio logic into Databricks (Spark/PySpark/SQL) equivalents.

•  Act as the onshore SME, partnering with business teams and translating requirements into clear specs for offshore delivery.

•  Provide guidance, knowledge transfer, and data debugging support to offshore engineers.

•  Support data validation during migration and help resolve source-side Ab Initio ETL execution issues.

•  Flexible working hours to ensure effective overlap with offshore teams across time zones.

Key Responsibilities

•  Analyze and interpret existing Ab Initio graphs, plans, and components to document business and transformation logic.

•  Translate complex Ab Initio functions (transform, rollup, join, partition/departition, lookup, normalize/denormalize, etc.) into target Databricks ETL designs.

•  Partner with business teams to capture requirements and translate them into actionable specifications for offshore development teams.

•  Provide technical guidance and knowledge transfer to offshore engineers executing the conversion.

•  Lead data debugging, reconciliation, and root-cause analysis to resolve discrepancies between source (Ab Initio) and target (Databricks) outputs.

•  Support data validation and reconciliation throughout the migration to ensure source-to target parity.

•  Troubleshoot and resolve source-side Ab Initio ETL execution issues to keep migration and validation on track.

•  Define reusable conversion patterns, templates, and best practices to accelerate delivery.

•  Support SIT/UAT cycles, validate data parity, and assist with performance tuning on Databricks.

Required Skills & Experience

•  Strong hands-on expertise with Ab Initio (GDE, Co>Operating System, EME, Conduct>It plans, Continuous Flows).

•  Deep understanding of Ab Initio graph design, components, and DML/transform functions.

• Working knowledge of Azure Databricks, Apache Spark, PySpark, and SQL.

• Proven experience in legacy ETL modernization or migration programs.

• Strong data analysis, validation, and debugging skills with the ability to trace logic across complex pipelines.

• Excellent communication skills to work across business stakeholders and distributed offshore teams. Preferred

Qualifications

• Overall 5 to 10 years of experience.

• Experience migrating Ab Initio (or comparable legacy ETL such as Informatica/Teradata) to Databricks or other cloud lakehouse platforms.

• Familiarity with Azure data services (ADLS, ADF, Azure SQL) and CI/CD for data pipelines.

• Domain exposure to healthcare, banking, or other regulated, data-intensive industries.

• Experience leading or mentoring offshore delivery teams. Engagement Details

• Onshore role with regular interaction across onshore and offshore teams.

• Flexible working hours to maintain effective overlap with offshore time zones.

Skill Matrix details:

Candidate FULL Name:

 

Candidate Phone:

 

Candidate Email:

 

Candidate Current Address:

 

Status to Work in the US:

 

Education Degree(s) – Must Have Bachelor’s Degree, University/ Month / Year:

 

Last 4 Digits of SS#:

 

Month & Day (not year) of Birth:

 

LinkedIn Profile:

 

Reason for Looking:

 

References (Please provide 2 or 3 if possible):

 

Any Offer or Interviews in Pipeline?

 

Willing to Relocate? 

 

Willing to Work Onsite or Hybrid:

 

Availability for F2F Interview: Yes/No:

 

Availability to Start:

 

Asking Pay Rate (Hourly):

   

Skill/Experience: 

Self-Rank 1-5 (5=Expert)

# Years’

Experience

Ab Initio (GDE, EME, Co>Op, Conduct>It)

  

Azure Databricks (Spark/PySpark/SQL)

  

ETL Migration & Modernization

  

Data Validation & Debugging

  

Azure Data Services (ADLS, ADF, Azure SQL)

  

CI/CD for Data Pipelines 

  

Stakeholder & Offshore Team Collaboration

  

Any Certifications? (Please List)