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Azure Data Engineer Jobs in Iowa (NOW HIRING)

Data Engineer

Des Moines, IA · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Davenport, IA · On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Clinton, IA · On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

AI Data Engineer - Senior Consultant

Davenport, IA · Hybrid

$99K - $136K/yr

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

AI Data Engineer - Senior Consultant

Des Moines, IA · Hybrid

$102K - $140K/yr

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

Lead Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

Summary The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all ...

Lead Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

Summary The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all ...

Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

a. Establishing data pipelines from source systems to target systems (ETL tools) b. Writing T-SQL queries and familiarity with Relational Databases. c. Power BI report writing d. Basic understanding ...

Microsoft and Azure Architect

Des Moines, IA · On-site

$62 - $80.75/hr

Platform Engineering & DevSecOps * Partner with Platform/Engineering to deliver golden paths and ... Data & Analytics * Advise on Databricks, Synapse/Microsoft Fabric, Data Factory, Purview (catalog ...

Data Engineer III

Des Moines, IA · On-site

$111K - $134K/yr

Develops, tests, and maintains complex prioritized engineering (design/build/test) work as a member of a data analytics product pipeline architecture and infrastructure team: * Investigates and ...

Senior Data Product Manager

Ankeny, IA · Remote

$118K - $156K/yr

Collaborate with engineering and analytics teams to translate requirements into technical ... Azure Data Lake, Azure Synapse, Databricks, dbt * Data Integration: MuleSoft, APIs, batch/real-time ...

Sr Data Engineer I

Des Moines, IA · On-site

$110K - $180K/yr

What You'll Do We're looking for a Senior Data Engineer I to join our Retirement Modernization Data Enablement team. In this role, you'll help enable how critical transactional data moves from source ...

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Azure Data Engineer information

See Iowa salary details

$41.8K

$121.8K

$166.7K

How much do azure data engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for azure data engineer in Iowa is $121,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer, and why are they important?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What engineers make $300,000 a year?

Senior data engineers, including those working with cloud platforms like Azure, can earn $300,000 or more annually, especially with extensive experience, specialized skills in data architecture, and relevant certifications. High salaries are often found in large organizations or in roles requiring advanced expertise in big data, machine learning, and data pipeline management.

Is azure data engineer a good career?

Azure Data Engineer is a valuable career path involving designing and implementing data solutions using Microsoft Azure tools and services. It requires skills in data modeling, cloud computing, and familiarity with tools like Azure Data Factory and SQL, with certifications enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management across industries.

What is the salary of azure data engineer?

The average salary of an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Senior roles or those in high-demand regions may offer higher compensation.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in data architecture, and certifications. High compensation is often associated with leadership roles, large organizations, or those with expertise in big data, machine learning, and advanced analytics.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
What are the most commonly searched types of Azure Data Engineer jobs in Iowa? The most popular types of Azure Data Engineer jobs in Iowa are:
What are popular job titles related to Azure Data Engineer jobs in Iowa? For Azure Data Engineer jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Azure Data Engineer jobs? Cities in Iowa with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Iowa as of June 2026, with employment types broken down into 90% Full Time, 4% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,838 per year, or $58.6 per hour.

Data Engineer

Bespoke Labs

Des Moines, IA • On-site

$111K - $134K/yr

Full-time

Posted 11 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines