1

Data Analytics Engineer Jobs in Iowa (NOW HIRING)

Lead Data Engineer

Cedar Rapids, IA ยท 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 ...

Data Engineer

West Des Moines, IA

$112K - $135K/yr

We are looking to add a Data Engineer to join our Information Technology team in West Des Moines ... Proactively monitor pipelines, perform root cause analysis for performance issues, and implement ...

Data Engineer

West Des Moines, IA ยท On-site

$112K - $135K/yr

We are looking to add a Data Engineer to join our Information Technology team in West Des Moines ... Proactively monitor pipelines, perform root cause analysis for performance issues, and implement ...

Supply Chain Analyst

Dubuque, IA ยท On-site

$20 - $21/hr

Background in engineering, customer service, or data analytics * Experience with engineering change management processes Education * Degree or equivalent experience in Engineering, Technology ...

In this role, you will analyze server and infrastructure capacity trends, model future demand, and ... The Data Center Capacity Engineer is responsible for planning and delivering the end-to-end server ...

Define analytical and data requirements for cross-functional initiatives involving data engineering, product teams, and global stakeholders. * Mentor junior analysts by providing guidance on ...

Data Engineer - Manager

Des Moines, IA ยท On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Data Strategy-Manager

Des Moines, IA ยท On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Governance- Manager

Des Moines, IA ยท On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

next page

Showing results 1-20

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.

Lead Data Engineer

Aegon

Cedar Rapids, IA โ€ข On-site

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Job description

Job Family

IT Operations

About Us

At Transamerica, hard work, innovative thinking, and personal accountability are qualities we honor and reward. We understand the potential of leveraging the talents of a diverse workforce. We embrace an environment where employees enjoy a balance between their careers, families, communities, and personal interests.

Ultimately, we appreciate the uniqueness of a company where talented professionals work collaboratively in a positive environment - one focused on helping people look forward and plan for the best life possible while providing tools and solutions that make it easier to get there.

Who We Are

We believe everyone deserves to live their best life. More than a century ago, we were among the first financial services companies in America to serve everyday people from all walks of life.

Today, we're part of an international holding company, with millions of customers and thousands of employees worldwide. Our insurance, retirement, and investment solutions help people make the most of what's important to them.

We're empowered by a vast agent network covering North America, with diversity to match. Together with our nonprofit research institute and foundation, we tune in, step up, and are a force for good - for our customers and the communities where we live, work, and play. United in our purpose, we help people create the financial freedom to live life on their terms.

What We Do

Transamerica is organized into three distinct businesses. These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and 3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate, which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs.

Transamerica employs nearly 7,000 people. It's part of Aegon, an integrated, diversified, international financial services group serving approximately 23.9 million customers worldwide.* For more information, visit transamerica.com.

Job Description 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 forms of data to enable data-driven decisions and outcomes across the enterprise.

Job Description

Responsibilities

  • 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-Premises enterprise data infrastructure and tools.
  • Design robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data.
  • Lead the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.
  • Assist the selection and integration of data related tools, frameworks and applications required to expand platform capabilities.
  • Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.


Qualifications

  • Bachelor's degree in computer science, math, engineering, or relevant technical field
  • Five years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies
  • Four years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on-premises and cloud environments
  • Three years of experience architecting, building and administering large-scale distributed applications
  • Three years of experience with Linux operations and development, including basic commands and shell scripting
  • Three years of experience executing DevOps methodologies and continuous integration/continuous delivery
  • Demonstrated skills in delivery of high-quality technical project solutions
  • Expertise in SQL for data profiling, analysis, and extraction
  • Familiarity with data science techniques and frameworks
  • Creative thinker with strong analytical skills
  • Results oriented with a strong customer focus
  • Ability to work in a team environment
  • Strong technical communication skills
  • Ability to prioritize work to meet tight deadlines
  • Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables


Preferred Qualifications

  • Master's degree in a technical field (e.g. computer science, math, engineering)
  • Understanding of big data and real time streaming analytics processing architecture and ecosystems
  • Experience with data warehousing architecture and implementation, including hands on experience with source to target mappings and developing ETL code
  • Experience with advanced analytics and machine learning concepts and technology implementations
  • Experience with data analysis and using data visualization tools to describe data
  • Relevant technology or platform certification (AWS, Microsoft, etc.)
  • Software development experience in relevant programming languages (e.g. Java, Python, Scala, Node.js)
  • Experience with Snowflake


Working Conditions

  • Hybrid-Office Environment (Tuesdays, Wednesdays, Thursdays)
  • Occasional Travel <10%


This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.

Compensation

The Salary for this position generally ranges between$107,000 - $135,000 annually.Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors includingqualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.

Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company's discretion.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

This is a hybrid position requiring three days in office per week in one of our hub locations (Philadelphia, PA; Cedar Rapids, IA; Denver, CO). Relocation assistance will not be provided for this position.

What We Offer

For eligible employees, we offer a comprehensive benefits package designed to support both the personal and financial well-being of our employees.

Compensation Benefits

  • Competitive Pay

  • Bonus for Eligible Employees

Benefits Package

  • Pension Plan

  • 401k Match

  • Employee Stock Purchase Plan

  • Tuition Reimbursement

  • Disability Insurance

  • Medical Insurance

  • Dental Insurance

  • Vision Insurance

  • Employee Discounts

  • Career Training & Development Opportunities

Health and Work/Life Balance Benefits

  • Paid Time Off starting at 160 hours annually for employees in their first year of service.

  • Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays).

  • Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars

  • Parental Leave - fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child.

  • Adoption Assistance

  • Employee Assistance Program

  • Back-Up Care Program

  • PTO for Volunteer Hours

  • Employee Matching Gifts Program

  • Employee Resource Groups

  • Inclusion and Diversity Programs

  • Employee Recognition Program

  • Referral Bonus Programs

Inclusion & Diversity

We believe our commitment to diversity and inclusion creates a work environment filled with exceptional individuals. We're thrilled to have been recognized for our efforts through the Human Rights Campaign Corporate Equality Index, Dave Thomas Adoption Friendly Advocate, and several Seramount lists, including the Inclusion Index, 100 Best Companies for Working Parents, Best Companies for Dads, and Top 75 Companies for Executive Women.

To foster a culture of inclusivity throughout our workforce, workplace, and marketplace, Transamerica offers a wide range of diversity and inclusion programs. This includes our company-sponsored, employee-driven Employee Resource Groups (ERGs), which are formed around a shared interest or a common characteristic of diversity. ERGs are open to all employees. They provide a supportive environment to help us better appreciate our similarities and differences and understand how they benefit us all.

Giving Back

We believe our responsibilities extend beyond our corporate walls. That's why we created the Aegon Transamerica Foundation in 1994. Through a mix of financial grants and the volunteer efforts of our employees, the foundation supports nonprofit organizations focused on the things that matter most to our people in the communities where we live and work.

Transamerica's Parent Company

Aegon acquired the Transamerica business in 1999. Since its start in 1844, Aegon has grown into an international company serving more than 23.9 million people across the globe.* It offers investment, protection, and retirement solutions, always with a clear purpose: Helping people live their best lives. As a leading global investor and employer, the company seeks to have a positive impact by addressing critical environmental and societal issues, with a focus on climate change and inclusion and diversity.

* As of December 31, 2023