ZipRecruiter

Log In

2

Full Time Azure Data Factory Jobs (NOW HIRING)

Capital Axis Solutions

Be Seen First

Senior Azure Data Engineer / Azure Synapse Engineer

Hanover, MD · On-site

$115K - $125K/yr

By providing specialized expertise in Azure Synapse, Azure Data Factory, ETL/ELT processes, Azure networking, private endpoints, data integration, cloud data architecture, performance optimization ...

ClifyX

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$111K - $134K/yr

Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2) • Advanced proficiency in Python (data processing, scripting, automation) • Strong ...

The Baer Group

Azure Cloud Developer (17638)

Saint Louis, MO · On-site

$53.50 - $66.25/hr

Develop ETL/ELT solutions using Azure Data Factory and related Azure services. * Build and optimize batch and streaming data processing pipelines using Databricks or Apache Spark. * Write complex SQL ...

Palnar

Azure Data Architect w/D365 Exp

$65 - $84.75/hr

Experience with data warehousing solutions and ETL tools like Azure data Factory. * In depth knowledge of Power BI for data visualization and report creation * Ability to translate business ...

Capital Axis Solutions

Be Seen First

Senior Azure Data Engineer / Azure Synapse Engineer

Hanover, MD · On-site

$115K - $125K/yr

By providing specialized expertise in Azure Synapse, Azure Data Factory, ETL/ELT processes, Azure networking, private endpoints, data integration, cloud data architecture, performance optimization ...

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 ...

PamTen Inc

Lead - Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Hands on experience with Azure Event Hubs is a big plus. • Design and develop data pipelines and ETL processes using Azure Data Factory, Databricks, and related Azure services. • Extensive ...

Palnar

Sr. Azure Data Architect

Princeton, NJ · On-site

$66.50 - $86.75/hr

* Experience with Azure data factory, Azure SQLDB, Azure SQLDB Managed Instance, and Azure Synapse. * Stay up-to-date with the latest Power BI and data platform technologies and trends. * Proven ...

Collabera Digital

Data Analyst

Redmond, WA · On-site

$162K - $172K/yr

Onsite/Redmond, WA Primary Responsibilities • Develop, maintain, and enhance staffing and workforce planning models. • Build and optimize data pipelines using Azure Data Factory (ADF) and related ...

Flowserve

Data Engineer MS Fabric

Irving, TX · On-site

$109K - $132K/yr

The ideal candidate will have experience with Azure Data Factory, notebooks, Spark/PySpark, and building scalable data pipelines that support analytics and business reporting needs. Responsibilities

New

CSpring

Azure Data Engineer

Indianapolis, IN

$109K - $131K/yr

Practical experience with Azure Data Factory, including pipeline design, triggers, parameterization, and error handling. * Working experience with at least one of Azure Synapse Analytics, Databricks ...

previous page

Showing results 41-60

All Jobsfull time JobsTechnology JobsData JobsFull Time Azure Data Factory Jobs

Full Time Azure Data Factory information

See salary details

$11

$58

$79

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

As of Aug 23, 2026, the average hourly pay for full time azure data factory 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 is a full time Azure Data Factory job?

Full Time Azure Data Factory jobs are positions where professionals work exclusively with Microsoft Azure Data Factory (ADF), a cloud-based data integration service. These roles typically involve designing, building, and managing data pipelines to move and transform data across various sources in the cloud. Employees in these jobs often collaborate with data engineers, analysts, and other IT staff to ensure efficient data workflows and solutions. Working full-time means the individual is employed on a standard work schedule, usually 40 hours per week, focusing solely on Azure Data Factory-related tasks.

What are the key skills and qualifications needed to thrive as a full time Azure Data Factory professional?

To thrive as a Full Time Azure Data Factory professional, you need strong expertise in data integration, ETL processes, and SQL, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for collaborating with teams and addressing complex data challenges. Mastering these skills ensures efficient data pipeline development, reliable data management, and successful delivery of business intelligence solutions.

What are some common challenges faced by professionals working full time with Azure Data Factory, and how can they be addressed?

Full-time Azure Data Factory professionals often encounter challenges such as orchestrating complex data workflows, managing data integration across diverse sources, and ensuring data pipeline reliability. Navigating frequent updates to cloud services and maintaining robust security and compliance can also add complexity. These challenges can be addressed by staying updated with Azure documentation, leveraging built-in monitoring and error-handling features, and actively collaborating with data engineers, architects, and business analysts to align on data requirements and best practices.

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

AspectFull Time Azure Data FactoryData Engineer
Required SkillsAzure Data Factory, ETL, cloud data integrationSQL, Python, ETL, cloud platforms
CertificationsAzure Data Engineer Associate, Azure certificationsNone specific, often cloud or data certifications
Work EnvironmentCloud-based data integration projectsData pipeline development, database management
Industry UsageData integration roles in cloud-focused companiesData infrastructure across various industries

Full Time Azure Data Factory roles focus on cloud-based data integration using Azure services, often requiring specific certifications. Data Engineers have broader responsibilities in building and maintaining data pipelines across platforms, with skills in SQL and programming. Both roles are essential in data-driven organizations but differ in scope and technical focus.

More about Full Time Azure Data Factory jobs

What cities are hiring for Full Time Azure Data Factory jobs?

Cities with the most Full Time Azure Data Factory job openings:

What are the most commonly searched types of Azure Data Factory jobs?

The most popular types of Azure Data Factory jobs are:

What states have the most Full Time Azure Data Factory jobs?

States with the most job openings for Full Time Azure Data Factory jobs include:

What job categories do people searching Full Time Azure Data Factory jobs look for?

The top searched job categories for Full Time Azure Data Factory jobs are:

Full Time Azure Data Factory jobs near you
Infographic showing various Full Time Azure Data Factory job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Data Engineer - Azure Databricks

High Bridge Consulting LLC

Manhattan, NY • On-site

$70 - $90/hr

Full-time

Re-posted 26 days ago

Job description

Data Engineer - Azure Databricks (Corporate Data Platform)
We are hiring a Data Engineer with strong Azure Databricks and Azure Data Engineering experience to build and scale enterprise data pipelines across corporate functions including Finance, Compliance, Facilities, RESO, and HCG.
This role focuses on modern cloud data engineering, ETL/ELT pipelines, and enterprise system integration within a large-scale Azure data ecosystem.
NYC area (Hybrid - 3 days onsite per week)
Responsibilities
  • Design, build, and maintain Azure Databricks + Azure Data Factory pipelines
  • Develop ETL/ELT workflows for structured and unstructured data
  • Build scalable data models and lakehouse architectures
  • Integrate enterprise systems (ServiceNow, Workday, Dataverse, APIs)
  • Optimize SQL queries, Spark jobs, and data processing performance
  • Ensure data governance, security, and data quality standards
  • Support monitoring, troubleshooting, and pipeline reliability
  • Collaborate across business and technical teams

Required Skills
  • 5+ years in Data Engineering / Cloud Data Engineering
  • Strong hands-on experience with Azure, Databricks, Spark
  • Advanced SQL and large-scale data processing
  • Experience with Azure Data Factory
  • Strong programming in Python or Scala
  • Experience with Azure SQL Database
  • Familiarity with APIs, event-driven architecture, and system integration
  • Experience with Azure Functions
  • Working knowledge of C# and/or PowerShell
  • Strong communication and stakeholder management skills

Nice to Have
  • Delta Lake / Lakehouse architecture
  • Azure DevOps / CI-CD pipelines
  • Data governance / catalog tools (e.g., Purview)
  • Agile/Scrum environment experience
  • Microsoft or Databricks certifications

Why This Role
  • High-impact enterprise data platform work
  • Exposure across multiple business domains
  • Opportunity to shape modern Azure Databricks architecture
  • Strong focus on scalability, engineering excellence, and innovation

Compensation: $70.00 - $90.00 per hour
Who We Are
High Bridge is a bottom-up consulting firm with more than two decades of experience creating innovative solutions for the technology industry.
  • We connect thoughtfully curated talent with reputable employers in our field.
  • We partner with like-minded companies to bolster mutual success and understanding.
  • We deliver results through strategic planning and meticulous project management.

At High Bridge, we believe that success is a measure of results and process, product and person. We are proud to bring integrity and humanity to the work that we do each day. Whether we're interviewing prospective associates, brainstorming with partners, or troubleshooting with vendors, we pledge our commitment to honesty, transparency, and good humor at every junction.
Careers
Are you passionate about technology? Do you believe in no finish lines? Are people and process the heel in your stride? High Bridge Consulting may be the next journey for you.
Here at High Bridge, our island is technology, but our village is human. We value a culture of authenticity, integrity, and creativity. We work smart, not hard, we look forward, not backward, and we love coming to work on Monday.
If you aren't afraid of heights, join us on our bridge.

Apply