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Data Analytics Engineer Jobs in Iowa (NOW HIRING)

Athene

Sr BI Analytics Engineer

West Des Moines, IA · On-site

$50 - $65/hr

As a Senior BI Analytics Engineer, you will play a critical role in transforming enterprise data into meaningful, actionable insights that drive strategic business decisions across Athene. Serving as ...

Pwc

Data Engineer - Senior Manager

Des Moines, IA

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Des Moines, IA · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Socket.dev

Data Engineer- Analytics

Davenport, IA · On-site

$95 - $125/hr

Old Republic Bitco is seeking a Data Engineer - Analytics to join our Home Office located in Davenport, IA . As a respected specialty insurer with 11 branch offices across 10 states, OR Bitco ...

RFA Engineering

Data Engineer

Urbandale, IA · On-site

$80K - $120K/yr

Data Engineer As a Data Engineer, you will enable engineers, analysts, and data scientists to more effectively access, explore, and leverage enterprise data to generate insights, build models, and ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Iowa

Data Analytics Engineer information

See Iowa salary details

$41.8K

$121.8K

$166.7K

How much do data analytics engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data analytics 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.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Iowa?

The most popular types of Data Analytics Engineer jobs in Iowa are:

What are popular job titles related to Data Analytics Engineer jobs in Iowa?

For Data Analytics Engineer jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Iowa look for?

The top searched job categories for Data Analytics Engineer jobs in Iowa are:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,838 per year, or $58.6 per hour.

Data Engineer / BI Developer-Databricks

Des Moines, IA • On-site

Transcend IT Solutions
See more jobs at Transcend IT Solutionsexternal

$111K - $134K/yr

Other

Posted 5 days ago

Job description

Position Tittle: Data Analytics Engineer / BI Developer
Location: Hybrid – Des Moines, IA metro-live in Iowa or midwest and will fully relocate
Duration: Long Term
 
Job Details:
 
More Data Engineer than Analyst with strong Databricks. Need someone that is more personable
 
We are seeking a Data Analytics Engineer (Databricks) / BI Developer to support a growing enterprise data modernization initiative. This role will sit at the intersection of data analytics and data engineering, helping rebuild and modernize reporting solutions while leveraging newer Databricks-based technologies and cloud data tools.
 
This position is ideal for someone who enjoys both the analytical side of delivering business insights and the technical side of supporting data transformation efforts. The environment is still evolving, so the ideal candidate should be comfortable operating in a collaborative, fast-moving setting where foundational reporting and data capabilities are actively being built out.
 
This position will include exposure to Databricks, transformation logic, and notebook development alongside a stronger focus on dashboarding, reporting modernization, and business insight delivery.
 
Key Responsibilities:
Reporting & Dashboard Modernization
Rebuild and modernize enterprise reporting solutions using newer cloud-based and Databricks-enabled technologies.
Design and develop dashboards, visualizations, and reporting solutions that provide meaningful business insights and operational visibility.
Partner with business stakeholders to understand reporting needs, KPIs, and analytical requirements.
Databricks & Data Transformation Support
Assist with data transformation activities within Databricks environments.
Support development and maintenance of Databricks notebooks and transformation workflows.
Collaborate with data engineering and analytics teams to improve data accessibility and reporting performance.
Help bridge the gap between raw data engineering efforts and business-facing analytics solutions.
Data Analysis & Insights
Analyze datasets to identify trends, anomalies, and actionable insights that support business decision-making.
Support data validation, quality checks, and reporting accuracy initiatives.
Translate complex data into clear and consumable business intelligence outputs.
Cross-Functional Collaboration
Work closely with analytics, engineering, business, and leadership teams to support modernization initiatives.
Assist in defining reporting standards, best practices, and scalable analytics solutions.
Communicate findings and recommendations effectively to both technical and non-technical audiences.
 
Continuous Improvement:
Support ongoing modernization of reporting architecture and analytics capabilities.
Stay current on evolving Databricks, BI, and cloud analytics technologies.
Identify opportunities to improve reporting efficiency, automation, and data usability.
 
Required Qualifications:
3+ years of experience in data analytics, BI development, reporting, or related data-focused roles.
Experience developing dashboards and reporting solutions using Power BI or similar BI platforms.
Strong SQL and data analysis skills.
Exposure to Databricks or modern cloud-based analytics environments.
Understanding of data transformation concepts and analytical workflows.
Strong communication and collaboration skills.
 
Preferred Qualifications:
Experience working with Databricks notebooks and transformation logic.
Exposure to Azure data technologies and cloud-based analytics platforms.
Experience supporting reporting modernization initiatives.
Understanding of data modeling and analytics architecture concepts.
Ability to operate between technical and business-focused teams.
 
Technical Skills:
Power BI
SQL
Databricks
Data Visualization
Dashboard Development
Data Transformation
Analytics & Reporting
Cloud Data Platforms
Databricks Notebooks
Excel
Business Intelligence Tools
Ideal Candidate Profile
 

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