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Data Analytics Engineer Jobs in Iowa (NOW HIRING)

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 ...

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

Data Engineer III

Des Moines, IA · On-site

$111K - $134K/yr

Balances and designs data analytics product solutions based on cost and performance to meet data ... Strong knowledge of DevOps and/or DataOps practices, CI/CD pipelines, and containerization ...

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 ...

Data Engineer III

Des Moines, IA · On-site

$111K - $134K/yr

Balances and designs data analytics product solutions based on cost and performance to meet data ... Strong knowledge of DevOps and/or DataOps practices, CI/CD pipelines, and containerization ...

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 ...

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 ...

The role combines structured analytics work with day-to-day operational support, ensuring strong ... Proficiency in SQL, Python, R, or other programming languages commonly used in data analysis, with ...

Serve as a strategic data partner across business stakeholders, Analytics, and Data Engineering teams * Facilitate collaboration across functions while identifying shared data needs and reducing ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Lead Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment: * Architect, build, and support the operation of Cloud and On ...

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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 Jul 14, 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 systems 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 deliver actionable insights.
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:
Infographic showing various Data Analytics Engineer job openings in Iowa as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $121,838 per year, or $58.6 per hour.
Sr BI Analytics Engineer

Sr BI Analytics Engineer

Athene

West Des Moines, IA

$50 - $65/hr

Full-time

Posted 13 days ago


Athene rating

7.1

Company rating: 7.1 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

We are driven to do more. More for our customers and the financial professionals who offer our products. If you are driven to do more and love the challenge of pursuing more, Athene is your kind of company. You will find we offer more than the basics to create an inclusive and dynamic work environment at our various locations.

Purpose:

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 a trusted partner to stakeholders throughout the organization, you will identify business opportunities, translate complex requirements into scalable analytical solutions, and deliver intuitive self-service reporting experiences that enable data-driven decision making.
This role combines strong business acumen, analytical expertise, and modern BI engineering practices to deliver enterprise-grade dashboards and reporting solutions. You'll collaborate closely with business leaders, Data Engineering, Data Governance, and Business Intelligence teams while leveraging AI-enabled capabilities to modernize and accelerate the analytics development lifecycle. At Athene, you'll join an organization experiencing significant growth, backed by the strength of Apollo Global Management, where innovation, speed, and continuous improvement are core to how we deliver value for our customers and business partners.

Accountabilities:

  • Partner with business stakeholders across the enterprise to understand business challenges, build domain expertise, and design scalable analytical solutions that address critical business needs.
  • Design, develop, test, and deploy enterprise-grade self-service dashboards, reports, and data visualizations using Tableau, Power BI, or similar business intelligence platforms.
  • Collaborate with Data Engineering, Data Governance, and Business Intelligence teams to deliver trusted, governed, and high-quality analytics products built on reliable enterprise data.
  • Apply strong SQL, data modeling, and data wrangling techniques to transform complex data into intuitive, actionable insights while continuously improving reporting performance and usability.
  • Leverage AI-enabled tools and emerging technologies to enhance business analysis, accelerate solution design, improve development efficiency, and modernize the end-to-end analytics delivery lifecycle.


Qualifications and Experience:

  • 5+ years of relevant experience designing and delivering business intelligence, analytics, or enterprise reporting solutions using Tableau, Power BI, or similar visualization platforms.
  • Strong experience writing complex SQL, performing data analysis and data wrangling, and designing intuitive dashboards that translate business needs into actionable insights.
  • Demonstrated ability to partner with business stakeholders, facilitate requirements gathering, influence solution design, and deliver analytical products in a collaborative, agile environment.
  • Experience leveraging AI-enabled tools or a demonstrated curiosity and ability to apply AI to improve analytical workflows, solution delivery, and business outcomes while exhibiting critical thinking, creativity, adaptability, and a bias for action.
  • Strong problem-solving, communication, and relationship-building skills with the ability to balance business priorities and technical solutions across cross-functional teams.

Drive. Discipline. Confidence. Focus. Commitment. Learn more about working at Athene.

Athene is a Military Friendly Employer! Learn more about how we support our Veterans.

Athene is committed to inclusion and is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, veteran status or any other status protected by federal, state or local law.


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