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Azure Data Factory Jobs in Iowa (NOW HIRING)

Jobtailor

Director, Data Management

Des Moines, IA · On-site

$170 - $250/hr

Expertise with Azure Data Services, including Data Lake, Data Factory, Synapse, Event Hub, and Key Vault * Ability to lead teams while defining enterprise platform strategy and technical roadmap

New

GreatAmerica

Data Architect

Cedar Rapids, IA · On-site

$62.75 - $80.75/hr

... Azure Data Factory, Synapse, Databricks, Azure Data Lake Storage, and Salesforce. • Experience with Salesforce data models and Salesforce Data Cloud. • Experience leading modernization, migration ...

KPMG US

Manager, Data Operations

Des Moines, IA · On-site

Required : • Minimum five years of recent experience managing data operations, including data pipeline monitoring and incident response, with strong knowledge of Azure Data Factory, Azure ...

Holmes Murphy

Data Engineer

West Des Moines, IA

$112K - $135K/yr

Azure Data Factory, Alteryx, Fabric, dbt, SQL, and other tools. * Advanced Data Transformations: Implement transformations, aggregations, and custom logic to meet business requirements. * Data ...

Holmes Murphy

Data Engineer

West Des Moines, IA · On-site

$112K - $135K/yr

Azure Data Factory, Alteryx, Fabric, dbt, SQL, and other tools. * Advanced Data Transformations: Implement transformations, aggregations, and custom logic to meet business requirements. * Data ...

Pwc

Data Engineer - Manager

Des Moines, IA · On-site

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services - Designing and managing data warehouses and data lakes, verifying data is organized and accessible ...

Pwc

Data Engineer - Senior Associate

Des Moines, IA · On-site

$77K - $202K/yr

... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud resources for cost, performance, and scalability Travel Requirements Up to 60% Job Posting End Date The ...

Randstad Digital

Sr. Data Engineer

West Des Moines, IA · On-site

$176K/yr

Develop and manage data transformations and orchestration using dbt, Azure Data Factory (ADF), Azure Data Lake (ADL), or comparable tools. Integrate Snowflake with enterprise systems and cloud data ...

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How much do azure data factory jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for azure data factory in Iowa is $54.86, according to ZipRecruiter salary data. Most workers in this role earn between $49.66 and $61.63 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

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

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

What are popular job titles related to Azure Data Factory jobs in Iowa?

For Azure Data Factory jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Azure Data Factory jobs in Iowa look for?

The top searched job categories for Azure Data Factory jobs in Iowa are:

Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,099 per year, or $54.9 per hour.

Director, Data Management

Jobtailor

Des Moines, IA • On-site

$170 - $250/hr

Other

Posted yesterday

New

Job description

  • Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization
  • Oversee migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using medallion architecture
  • Lead and mentor data engineers and guide the onsite and remote data engineering team
  • Partner with enterprise data and solution architects on data models, pipelines, and platform design
  • Transform a fragmented data ecosystem into a single source of truth for insurance domains
  • Drive cloud-native engineering best practices, including ETL/ELT optimization, CI/CD, DevOps, cost efficiency, and observability
  • Ensure data availability, scalability, and reliability for analytics, reporting, and digital initiatives
  • Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access
  • Prioritize and manage the enterprise data portfolio and align investments with business value and strategic initiatives
  • Manage budget, resourcing, and vendor relationships
  • Evolve the platform roadmap based on emerging technologies such as Databricks, streaming, and AI/ML
  • Own the Databricks platform and guide business users on Lakehouse adoption
  • Report to the Chief Data & Analytics Officer
Requirements
  • Expertise with Azure Data Services, including Data Lake, Data Factory, Synapse, Event Hub, and Key Vault
  • Ability to lead teams while defining enterprise platform strategy and technical roadmap
  • Excellent communication and leadership skills to influence technical and business stakeholders
  • Familiarity with DAMA/DMBOK practices and standards
  • Familiarity with streaming/real-time ingestion, including Kafka and Event Hub, required
  • 10+ years of experience in data engineering, architecture, or platform leadership
  • At least 5 years of team management experience
  • Insurance or financial services experience required
  • Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems using Databricks or Snowflake
  • Hands-on experience with Databricks Lakehouse, PySpark, Delta Lake, and Unity Catalog
  • Strong background in data modeling, ETL/ELT frameworks, and data warehousing
  • Experience with compliance regulations and handling PHI/PII data
  • Exposure to AI/ML and data science workloads in Databricks or Snowflake
  • Experience with DevOps and automation frameworks, including Azure DevOps, Terraform, and GitHub Actions
  • Bachelor's degree in computer science, business/data analytics, management information systems, information technology, or related field; combination of education and/or relevant work experience may be accepted in lieu of degree

Demonstrates expertise in defining and executing enterprise data platform strategies, with a strong focus on Azure Data Services, Databricks Lakehouse, and data modernization. Proven ability to lead teams, manage budgets, and drive cloud-native engineering best practices while ensuring data availability and compliance.

Highest-signal resume keywords
  • Azure Data Services
  • Databricks Lakehouse
  • Data Engineering Leadership
  • ETL/ELT Optimization
  • Insurance Domain Experience
ATS Optimization KeywordsHard Skills
  • Data Modeling
  • PySpark
  • Delta Lake
  • Unity Catalog
  • CI/CD
  • DevOps
  • ETL Frameworks
  • Data Warehousing
  • Streaming Ingestion
  • Compliance Regulations
Soft Skills
  • Leadership
  • Communication
  • Team Management
  • Stakeholder Influence
  • Collaboration
Industry Keywords
  • DAMA/DMBOK
  • Data Modernization
  • PHI/PII Data
  • Financial Services
  • Insurance
Tools & Technologies
  • Azure Databricks
  • Azure SQL Server
  • Azure Data Factory
  • Azure Synapse
  • Event Hub
  • Azure DevOps
  • Terraform
  • GitHub Actions
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