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Data Manager Jobs in Iowa (NOW HIRING)

EMC Insurance Group, Inc.

Data Engineer III

Des Moines, IA · On-site

$111K - $134K/yr

Implements complex logical models into appropriate database management systems, considering database features, storage optimization, and performance considerations * Designs complex data pipelines to ...

EMC Insurance Group, Inc.

Data Engineer III

Des Moines, IA · On-site

$111K - $134K/yr

Implements complex logical models into appropriate database management systems, considering database features, storage optimization, and performance considerations * Designs complex data pipelines to ...

Pwc

Data Engineer - Senior Manager

Des Moines, IA

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

KPMG US

Manager, Data Operations

Des Moines, IA · On-site

They are seeking a Manager, Data Operations to oversee Azure Data Lake operations, ensuring platform stability and managing day-to-day activities of Managed Service Provider resources.

CAI

Data Center Commissioning Project Manager

Des Moines, IA · On-site

$128K - $150K/yr

  • Medical

  • Life

  • PTO

The Project Manager will be the POC with client (data center/ building commissioning companies) personnel and the Regional Manager. The Project Manager will execute the work as well as oversee it.

Neshent Technologies

Data Modeler

Norwalk, IA

$51.25 - $66.50/hr

Familiarity with data governance and metadata management platforms such as Collibra, Alation, or Microsoft Purview. * Experience with AI/GenAI, semantic search, and enterprise knowledge graph ...

Neshent Technologies

Data Modeler

Carlisle, IA

$53.25 - $69.25/hr

Familiarity with data governance and metadata management platforms such as Collibra, Alation, or Microsoft Purview. * Experience with AI/GenAI, semantic search, and enterprise knowledge graph ...

Neshent Technologies

Data Modeler

Polk City, IA

$50.25 - $65.25/hr

Familiarity with data governance and metadata management platforms such as Collibra, Alation, or Microsoft Purview. * Experience with AI/GenAI, semantic search, and enterprise knowledge graph ...

Neshent Technologies

Data Modeler

Waukee, IA

$52.50 - $68/hr

Familiarity with data governance and metadata management platforms such as Collibra, Alation, or Microsoft Purview. * Experience with AI/GenAI, semantic search, and enterprise knowledge graph ...

Neshent Technologies

Data Modeler

Booneville, IA

$50.25 - $65.25/hr

Familiarity with data governance and metadata management platforms such as Collibra, Alation, or Microsoft Purview. * Experience with AI/GenAI, semantic search, and enterprise knowledge graph ...

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Showing results 41-60

All JobsData JobsData Manager JobsData Manager Jobs in Iowa

Data Manager information

See Iowa salary details

$29.1K

$91.2K

$161.6K

How much do data manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data manager in Iowa is $91,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $117,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their roles essential for organizations managing large data sets.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs

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

The most popular types of Data jobs in Iowa are:

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

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

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

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

What cities in Iowa are hiring for Data Manager jobs?

Cities in Iowa with the most Data Manager job openings:

Data Manager jobs near you
Infographic showing various Data Manager job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $91,245 per year, or $43.9 per hour.

Data Engineer III

EMC Insurance Group, Inc.

Des Moines, IA • On-site

$111K - $134K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

EMC Insurance rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 308 rated insurance

Job description

At EMC, we're all about working together to make an impact. As part of our team, you'll have the opportunity to grow, contribute, and gain experience that matters. We strive to be caring leaders, close partners, and responsive experts-always supporting each other to do our best work. Join us, and let's improve lives together.
Essential Functions:
Develops, tests, and maintains complex prioritized engineering (design/build/test) work as a member of a data analytics product pipeline architecture and infrastructure team:
  • Investigates and analyzes feasibility of data integration prototypes and program requirements
  • Develops specifications and plans the full range of programming actions to produce data integration components
  • Develops and maintains complex automated ETL/ELT pipeline architecture that cleans, transforms, and aggregates data from disparate sources using architecturally approved tools, programming languages, and services to deliver a data mesh approach
  • Develops and maintains complex automated ETL/ELT monitoring and alarming solutions using architecturally approved languages and services
  • Monitors, troubleshoots, and optimizes data pipelines for quality, performance, and reliability creating a single source of truth providing business customers with highly reliable and quality data
  • Builds complex unit tests to enable test driven development and automation to drive code reliability
  • Develops, maintains, tests, and deploys code with architecturally approved toolsets using Dev Ops practices, ETL/ELT pipelines, data catalogs and data queries
  • Maintains data solutions in a divest state to ensure business functionality until replaced with new technology
  • Balances and designs data analytics product solutions based on cost and performance to meet data needs and business requirements
  • Guides business customers to develop, troubleshoot, and optimize complex SQL and ETL/ELT solutions to solve reporting, metrics, and analytics problems

Data analysis: Collaborates with cross-functional teams to understand data requirements for data analytics products and translate them into scalable and efficient data solutions:
  • Leads moderately complex projects or supports larger initiatives as part of a team
  • Partners with users and stakeholders to understand data needs and business requirements
  • Leads the team on conceptualizing and developing new data solutions to meet the business data needs and requirements
  • Researches, performs analysis, and proposes effective solutions related to system developments and enhancements through collaboration with Data Architecture
  • Analyzes and reviews potential adjustments or modifications for impacts on other programs
  • Leverages data governance, data security, and privacy principles to support data lineage and reference data needs
  • Collaborates with cross-functional teams to understand business and downstream application (BI reporting, Data Science, Data Governance, other System integrations) and consumer requirements to deliver data-driven solutions that implement best practices for data management, security, and governance

Data modeling:
  • Develops complex data objects for business analytics using data modeling techniques
  • Models front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis
  • Works with stakeholders to understand complex business needs and translates them into a conceptual data model, defining entities, attributes, and relationships
  • Builds complex detailed logical models based on the conceptual model, specifying data types, constraints, and keys to ensure data integrity
  • Implements complex logical models into appropriate database management systems, considering database features, storage optimization, and performance considerations
  • Designs complex data pipelines to extract data from source systems, transform it as needed based on the data model, and load it into the target database

Documentation:
  • Participates in creating and maintaining documentation related to the design of applications and interfaces to enterprise and third-party systems in accordance with departmental and team standards
  • Collaborates with data governance on ensuring what is being produced in data analytics products enables data governance to publish a data asset
  • Collaborates with data governance to develop and maintain data analytic products, artifacts and user documentation for business customers
  • Works with business customers and software development teams to gather and document requirements for data publishing and data consumption via data mesh architecture
  • Maintains systems documentation

Education & Experience:
  • Bachelor's degree, preferably in a computer related field or equivalent relevant experience
  • Five years of data integration development experience, or related experience

Knowledge, Skills & Abilities:
  • Strong SQL knowledge and experience working with relational databases
  • Excellent analytical skills to work with unstructured datasets
  • Excellent knowledge of applicable programming languages, such as Python
  • Strong knowledge of cloud services such as RDS, S3, SNS, CloudWatch and Lambda
  • Strong knowledge of DBT/Informatica or other ETL/ELT tools preferred
  • Strong knowledge of Snowflake
  • Strong knowledge of data modeling
  • Excellent ability to build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Strong ability to manipulate, process and extract value from large, disconnected datasets
  • Strong knowledge of DevOps and/or DataOps practices, CI/CD pipelines, and containerization technologies preferred
  • Excellent knowledge of orchestration or scheduling tools
  • Excellent verbal and written communication skills
  • Strong attention to detail, organizational and multi-tasking skills with the ability to adapt to changing priorities
  • Ability to maintain confidentiality

The hiring salary range for this position will vary based on geographic location, falling within either of the following:
$92,670 - $128,045 or $102,443 - $140,845
A hiring range represents a subset of the full salary range. The actual salary will depend on several factors, including relevant education, skills, and experience of an applicant, geographic location, and business needs.
For information relating to the benefits EMC Team Members receive as part of a comprehensive rewards package, please visit www.emcins.com/careers
Our employment practices are in accordance with the laws that prohibit discrimination due to race, color, creed, sex, sexual orientation, gender identity, genetic information, religion, age, national origin or ancestry, physical or mental disability, medical condition, veteran status, active military status, citizenship status, marital status or any other consideration made unlawful by federal, state, or local laws.
All of our locations are tobacco free including in company vehicles.

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