1

Data Science Jobs in Iowa (NOW HIRING)

Define and own the enterprise data & AI strategy roadmap, unifying analytics, data science, data governance and AI under one coherent vision tied to business outcomes. * Lead the identification ...

LCS is looking for a visionary VP of Data & AI to lead the organization's transformation to becoming AI-native, spanning data analytics, data science, data governance, and AI. This leader is ...

LCS is looking for a visionary VP of Data & AI to lead the organization's transformation to becoming AI-native, spanning data analytics, data science, data governance, and AI. This leader is ...

LCS is looking for a visionary VP of Data & AI to lead the organization's transformation to becoming AI-native, spanning data analytics, data science, data governance, and AI. This leader is ...

LCS is looking for a visionary VP of Data & AI to lead the organization's transformation to becoming AI-native, spanning data analytics, data science, data governance, and AI. This leader is ...

LCS is looking for a visionary VP of Data & AI to lead the organization's transformation to becoming AI-native, spanning data analytics, data science, data governance, and AI. This leader is ...

LCS is looking for a visionary VP of Data & AI to lead the organization's transformation to becoming AI-native, spanning data analytics, data science, data governance, and AI. This leader is ...

LCS is looking for a visionary VP of Data & AI to lead the organization's transformation to becoming AI-native, spanning data analytics, data science, data governance, and AI. This leader is ...

Sr Data Engineer

Des Moines, IA · On-site

$117K - $146K/yr

As a Sr Data Engineer, you will design, build, and maintain scalable data pipelines and data infrastructure that support analytics, reporting, and data science initiatives. You will collaborate with ...

Sr Data Engineer

Des Moines, IA · On-site

$117K - $146K/yr

As a Sr Data Engineer, you will design, build, and maintain scalable data pipelines and data infrastructure that support analytics, reporting, and data science initiatives. You will collaborate with ...

Sr Data Engineer

Des Moines, IA

$111K - $134K/yr

As a Sr Data Engineer, you will design, build, and maintain scalable data pipelines and data ... Bachelor's degree in information systems, computer science or related technical field or equivalent ...

Sr Data Engineer

Des Moines, IA · On-site

$111K - $134K/yr

As a Sr Data Engineer, you will design, build, and maintain scalable data pipelines and data ... Bachelor's degree in information systems, computer science or related technical field or equivalent ...

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 ...

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 ...

This position focuses on problem solving by implementing actionable data-driven business solutions ... Qualifications: 1) Bachelor's degree in computer science or engineering or related field; master ...

next page

Showing results 1-20

Data Science information

See Iowa salary details

$35.2K

$115.3K

$184.6K

How much do data science jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data science in Iowa is $115,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $127,700.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Iowa? The most popular types of Data Science jobs in Iowa are:
What are popular job titles related to Data Science jobs in Iowa? For Data Science jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Data Science jobs? Cities in Iowa with the most Data Science job openings:
Infographic showing various Data Science job openings in Iowa as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,284 per year, or $55.4 per hour.
Principal Data Engineer

Principal Data Engineer

Berkshire Hathaway Energy

Des Moines, IA • On-site

$134K - $168K/yr

Full-time

Posted 18 days ago


Berkshire Hathaway Energy rating

6.5

Company rating: 6.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description


As a Principal Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure to support analytics, reporting, and data science initiatives. You will work closely with cross-functional teams to ensure data is accessible, reliable, and secure across the organization.
Responsibilities
Primary Job Duties and Responsibilities (Essential Job Functions)
  1. Design and Develop Scalable Data Pipelines
    • Design and implement scalable data ingestion and transformation frameworks using Azure services enabling structured, semi-structured, and unstructured data to be efficiently processed and integrated into enterprise data platforms
    • Build and maintain robust ETL/ELT pipelines using Azure Data Factory and Azure Databricks.
    • Integrate data from diverse sources including on-premises systems, cloud storage, APIs, and streaming platforms.
  2. Databricks Development and Optimization
    • Develop and optimize notebooks and workflows in Azure Databricks using PySpark, SQL.
    • Implement Delta Lake for efficient data storage, versioning, and ACID transactions.
    • Leverage Databricks features such as Unity Catalog and job orchestration.
  3. Data Modeling and Architecture
    • Design and implement data models (star/snowflake schemas) for analytics and reporting.
    • Collaborate with architects to define data lakehouse architecture and best practices.
    • Hands-on experience implementing and optimizing data solutions using the Medallion Architecture (Bronze, Silver, Gold layers) for scalable and structured data processing
  4. Data Quality and Governance
    • Implement data validation, profiling, and cleansing routines.
    • Ensure compliance with data governance policies, including data lineage and metadata management.
  5. Performance Tuning and Monitoring
    • Monitor and optimize performance of Spark jobs and data pipelines.
    • Troubleshoot and resolve issues related to data latency, job failures, and resource utilization.
  6. Collaboration and Stakeholder Engagement
    • Work closely with data scientists, analysts, and business units to understand data requirements.
    • Translate business needs into technical solutions that are scalable and maintainable.
  7. Security and Compliance
    • Implement role-based access control (RBAC), encryption, and secure data handling practices.
    • Ensure compliance with industry regulations (e.g., NERC CIP, GDPR, HIPAA if applicable).
  8. Documentation and Best Practices
    • Maintain clear documentation of data flows, architecture, and operational procedures.
    • Promote best practices in code versioning, testing, and CI/CD for data engineering.

Qualifications
  • Bachelor's degree in information systems, Computer Science, or a related technical field; or equivalent work experience.
  • 10 years of experience with advanced knowledge of data architecture, cloud platforms (especially Azure), and enterprise data solutions.
  • Advanced understanding of data modeling, ETL/ELT processes, and performance tuning of enterprise-level applications.
  • Expert-level knowledge of data-related technologies from architecture to administration, including design, development, optimization, and licensing.
  • Proven experience working in the utility industry is required
  • Soft Skills:
  • Effective oral and written communication skills, with the ability to collaborate across teams and mentor junior engineers.
  • Strong analytical and problem-solving abilities.
  • Ability to prioritize and manage multiple tasks and projects concurrently.

About Us
MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.
About the Team
MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.

What Berkshire Hathaway Energy employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom