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Full Time Azure Data Factory Developer Jobs (NOW HIRING)

DivIHN

Senior Data Developer (Remote)

Design, develop, and maintain Azure Data Factory (ADF) pipelines for ingestion, orchestration, and transformation. * Build scalable ETL/ELT solutions supporting enterprise data migration and ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work ... Factory one more of the following, Azure Synapse (DWH), Azure SQL Database, Azure Data Bricks ...

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Greetings from ACI ! Full Time: Accepting H1B Transfers Technical Skills * Expertise in SQL coding ... Azure Data Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid * Architect level ...

NAVA Software Solutions

Azure Data Lead

Clearwater, FL · On-site

Expertise and hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Expertise in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project ...

NAVA Software Solutions

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Strong experience in ADLS, Data Lake, Delta Lake Gen II, Synapse, Azure data Factory, Azure data bricks * Data Processing, batch processing, data cleansing, DQ * Data Services like Azure analytics ...

Seven Seven Software

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

RLS/CLS/OLS • ETL tool experience (e.g., SSIS, Azure Data Factory, Power BI Dataflow) • ... Job Requirements Required Skills: • 10+ years of data engineering experience • 5+ years of ...

Cedent

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Data Factory, Data Lake, Synapse Analytics, Event Hubs, Cosmos DB. * Data Pipeline and ETL/ELT ... Cloud & DevOps : * Strong understanding of Azure cloud services and architecture. * Familiarity ...

Deloitte

Azure Databricks Developer

Louisville, KY · On-site

$52.75 - $65.50/hr

As an experienced Azure Databricks Developer you will have the ability to share new ideas and ... Experience with other Azure data services like Azure Data Lake Storage, Azure Data Factory, and ...

ACI Infotech

Data Solutions Architect

... Full-time role Skills Required: ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud ... Experience in data engineering or architecture roles, with working specifically on Azure data ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

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All JobsFull Time Azure Data Factory Developer Jobs

Full Time Azure Data Factory Developer information

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How much do full time azure data factory developer jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for full time azure data factory developer in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What does a Full Time Azure Data Factory Developer do?

A Full Time Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration solutions using Microsoft Azure Data Factory. They build and manage data pipelines to extract, transform, and load (ETL) data from various sources into cloud-based data storage or analytics platforms. Their role involves collaborating with data engineers, analysts, and other stakeholders to ensure efficient and reliable data workflows. They also optimize data processes to enhance performance, troubleshoot issues, and ensure security and compliance standards are met.

What are the key skills and qualifications needed to thrive as a Full Time Azure Data Factory Developer, and why are they important?

To thrive as a Full Time Azure Data Factory Developer, you need expertise in data integration, ETL processes, SQL, and a strong understanding of Azure cloud services, typically supported by a degree in computer science or a related field. Experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data workflows. These competencies ensure secure, efficient, and scalable data solutions that drive business intelligence and analytics initiatives.

What are some common challenges Full Time Azure Data Factory Developers face when integrating data from multiple sources?

Full Time Azure Data Factory Developers often encounter challenges such as handling varying data formats, ensuring data consistency, and managing real-time versus batch data loads when integrating information from multiple sources. Additionally, troubleshooting pipeline failures and optimizing data flows for performance can require strong problem-solving skills. Collaboration with data architects, database administrators, and business analysts is crucial to address these challenges and ensure that data integration processes align with organizational goals.

What is the difference between Full Time Azure Data Factory Developer vs Data Engineer?

AspectFull Time Azure Data Factory DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining data pipelines using Azure Data FactoryBuilding, optimizing, and managing data infrastructure and pipelines across various platforms
Required SkillsAzure Data Factory, SQL, ETL processes, cloud servicesSQL, Python, Spark, cloud platforms, data modeling
CertificationsAzure Data Engineer Associate, Azure certificationsGoogle Cloud, AWS, or Azure certifications, depending on platform
Work EnvironmentCloud-based data projects within organizations using AzureBroader data infrastructure projects across multiple platforms

While both roles involve data pipeline development, the Full Time Azure Data Factory Developer specializes in Azure Data Factory and cloud-based ETL processes, whereas the Data Engineer has a broader scope, working with various tools and platforms to build comprehensive data solutions.

More about Full Time Azure Data Factory Developer jobs
What cities are hiring for Full Time Azure Data Factory Developer jobs? Cities with the most Full Time Azure Data Factory Developer job openings:
What are the most commonly searched types of Azure Data Factory Developer jobs? The most popular types of Azure Data Factory Developer jobs are:
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What job categories do people searching Full Time Azure Data Factory Developer jobs look for? The top searched job categories for Full Time Azure Data Factory Developer jobs are:
Full Time Azure Data Factory Developer jobs near you
Infographic showing various Full Time Azure Data Factory Developer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Senior Data Developer (Remote)

DivIHN

Remote

Full-time

Posted 14 days ago

Job description

For further inquiries about this opportunity, please contact one of our Talent Specialist Marsh at (224)5071280
Title: Senior Data Developer (Remote)
Duration: 12 Months
Location: Remote
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Work Arrangement
  • Remote engagement with required onsite attendance in Springfield, IL during the first week of the project.
  • Remaining duration of the contract may be performed remotely.

Description:
Position Summary
Our client is seeking a Senior Data Developer to design, develop, and implement scalable cloud-based data integration and migration solutions supporting the CMS Data Modernization Program. This role will focus on building Azure-based ETL/ELT pipelines, supporting legacy-to-cloud migration activities, implementing multizone data lake solutions, and enabling enterprise reporting and analytics.
The ideal candidate will possess strong hands-on expertise in Azure Data Factory, Azure SQL, cloud data engineering, and legacy data migration.
Key Responsibilities
  • Design, develop, and maintain Azure Data Factory (ADF) pipelines for ingestion, orchestration, and transformation.
  • Build scalable ETL/ELT solutions supporting enterprise data migration and modernization.
  • Implement multizone data lake architectures (Bronze/Silver/Gold) using Azure cloud technologies.
  • Develop and optimize SQL/T-SQL scripts, stored procedures, and transformation logic.
  • Extract and migrate data from legacy/mainframe environments including IMS DB/DC and DB2 systems.
  • Implement automated monitoring, logging, alerting, and error handling frameworks for data pipelines.
  • Support scheduling frameworks, orchestration sequencing, and refresh cycle management.
  • Develop CI/CD deployment pipelines supporting data movement and database objects.
  • Execute end-to-end migration activities including extraction, transformation, validation, delta loads, and production cutovers.
  • Implement data quality and validation controls supporting reconciliation and accuracy reporting.
  • Collaborate with architects, analysts, SMEs, and project leadership teams.
  • Support Azure governance standards including RBAC, ABAC, and Key Vault integration.
  • Perform source system inventory and data discovery activities to support migration planning.
  • Develop and maintain ingestion contracts, including field-level source-to-target mapping documentation.
  • Support data classification efforts, including identification and documentation of PII, SSN, and other sensitive data elements.
  • Design and support transactional staging environments for data ingestion and migration processes.
  • Create and maintain Azure Data Factory (ADF) pipeline specifications and support technical documentation.
Required Qualifications
  • 7+ years of experience in data engineering, ETL development, or cloud data modernization.
  • Strong hands-on expertise with Azure Data Factory (ADF).
  • Experience with Azure SQL, Azure Data Lake Storage (ADLS), and Azure cloud ecosystems.
  • Strong SQL and T-SQL development skills.
  • Experience developing multizone data lake solutions.
  • Experience migrating data from legacy or mainframe environments.
  • Experience implementing monitoring, logging, and automated validation frameworks.
  • Familiarity with DevOps and CI/CD processes.
  • Strong troubleshooting, analytical, and communication skills.
Preferred Qualifications
  • Experience supporting government or highly regulated environments.
  • Azure Data Engineer certifications.
  • Experience with Dynamics 365 and Power Platform integrations.

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