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Data Engineer Jobs in Waukee, IA (NOW HIRING)

Data Architect

West Des Moines, IA · On-site

$58.50 - $75.25/hr

Lead architecture reviews and provide technical guidance to data engineers and analytics teams * Evaluate and recommend data technologies, tools, and platforms * Ensure data governance, metadata ...

Data Architect

West Des Moines, IA · On-site

$63 - $81/hr

Collaborate with engineers to implement architectural patterns in production systems * Ensure pipelines are reliable, scalable, performant, and cost-efficient * Troubleshoot data issues ...

AI Engineer

Des Moines, IA · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine ...

Partners closely with Data Engineers to ensure accurate implementation within established data models and architectural standards. Independently leads small to medium initiatives and contributes ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Partners closely with Data Engineers to ensure accurate implementation within established data models and architectural standards. Independently leads small to medium initiatives and contributes ...

Data Analyst II

Des Moines, IA · On-site

$75K - $105K/yr

Partner with data engineers and fellow analysts throughout the analytics lifecycle to source, validate, interpret, and communicate data that supports business decisions. Who You Are * Bachelor ...

Data Analyst II

Des Moines, IA · On-site

$75K - $105K/yr

Partner with data engineers and fellow analysts throughout the analytics lifecycle to source, validate, interpret, and communicate data that supports business decisions. Who You Are * Bachelor ...

New

AI Engineer

Des Moines, IA · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000 ...

Showing results 41-60

Data Engineer information

See Waukee, IA salary details

$42.7K

$124.4K

$170.2K

How much do data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data engineer in Waukee, IA is $124,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $131,900.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Waukee, IA?

The most popular types of Data Engineer jobs in Waukee, IA are:

What job categories do people searching Data Engineer jobs in Waukee, IA look for?

The top searched job categories for Data Engineer jobs in Waukee, IA are:

What cities near Waukee, IA are hiring for Data Engineer jobs?

Cities near Waukee, IA with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Waukee, IA as of August 2026, with employment types broken down into 83% Full Time, 7% Temporary, and 10% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $124,399 per year, or $59.8 per hour.

Data Architect

West Des Moines, IA • On-site

Aureon
Telecommunications • 501 - 1,000 employees

$58.50 - $75.25/hr

Full-time

Posted 9 days ago


Aureon rating

3.4

Company rating: 3.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Data Architecture (≈70%)
  • Define and own enterprise data architecture across analytical, operational, and integration platforms
  • Design logical, physical, and conceptual data models to support analytics, reporting, AI/ML, and operational use cases
  • Establish and enforce data architecture standards, patterns, and best practices
  • Design scalable cloud-based and hybrid data platforms (e.g., data lakes, lakehouses, warehouses)
  • Partner with business, analytics, security, and application teams to translate requirements into data solutions
  • Ensure data solutions align with security, governance, privacy, and compliance requirements
  • Lead architecture reviews and provide technical guidance to data engineers and analytics teams
  • Evaluate and recommend data technologies, tools, and platforms
  • Ensure data governance, metadata management, data quality, and lineage initiatives

Data Engineering (≈30%)
  • Design and build robust data pipelines (batch and streaming) for ingestion, transformation, and delivery
  • Develop and optimize ETL/ELT processes using modern data engineering frameworks
  • Collaborate with engineers to implement architectural patterns in production systems
  • Ensure pipelines are reliable, scalable, performant, and cost-efficient
  • Troubleshoot data issues and optimize queries, storage, and processing
  • Support CI/CD practices, automated testing, and monitoring for data workflows

EDUCATION, TRAINING, AND EXPERIENCE:
  • Bachelor's degree in computer science, Information Systems, Engineering, or equivalent experience
  • 8+ years of experience in data architecture and/or data engineering roles

REQUIRED SKILLS:
  • Proven experience designing enterprise-scale Azure
  • Strong hands-on experience with:
  • Azure Data Lake Storage Gen2
  • Azure Synapse Analytics
  • Azure Data Factory
  • Azure Databricks or Microsoft Fabric
  • Advanced SQL skills and experience with Python (preferred)
  • Strong knowledge of data modeling, performance tuning, and cost optimization in Azure
  • Experience integrating data from SaaS, on-prem, and cloud-based systems
  • Ability to clearly communicate architectural decisions to both technical and non-technical stakeholders
  • Background with Data Governance Framework

Preferred Skills:
  • Experience designing data architectures that support AI and machine learning workloads, including feature engineering, training, inference, and monitoring at scale.

TOOLS, EQUIPMENT, AND SOFTWARE:
  • Experience with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Power BI integration)
  • Familiarity with Power BI semantic models and analytics consumption patterns
  • Knowledge of Azure Purview / Microsoft Purview for data governance and lineage
  • Experience with event-driven and streaming architectures in Azure
  • Understanding of DataOps / DevOps practices in an Azure environment
  • Experience supporting regulated or security-conscious enterprise environments

WORKING CONDITIONS AND PHYSICAL REQUIREMENTS:
  • Primarily indoor work in an office environment requiring long periods of sitting
  • Frequent utilization of manual dexterity and visualizing of a computer screen
  • No unusual physical requirements

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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