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Data Engineer Jobs in Cedar Rapids, IA (NOW HIRING)

Data Engineer

Cedar Rapids, IA · On-site

$100K - $120K/yr

Our client is seeking a Data Engineer to design, develop, and maintain the data infrastructure that supports reporting, analytics, and business decision-making across the organization. This role will ...

Data Engineer

North Liberty, IA · On-site

$104K - $125K/yr

Principal Software Engineer Position Summary Centro is seeking a Data Engineer to design, develop, and maintain the data infrastructure that supports reporting, analytics, and business decision ...

Data Engineer

Cedar Rapids, IA · On-site

$112K - $134K/yr

a. Establishing data pipelines from source systems to target systems (ETL tools) b. Writing T-SQL queries and familiarity with Relational Databases. c. Power BI report writing d. Basic understanding ...

Position Summary The Enterprise Lead Data Engineer is responsible for the design, development, governance, and ongoing operation of Altorfer's enterprise data platform. This hands-on technical role ...

AWS Data Engineer (Financial)

Cedar Rapids, IA · On-site

$112K - $134K/yr

Experience leveraging AI tools and technologies to enhance data engineering or analytics workflows. * Practical knowledge of grounding large language models (LLMs) to structured data stores , such as ...

Data Architect

Cedar Rapids, IA · On-site

$62.75 - $80.75/hr

... DevOps, Engineering, Analytics, Data Governance, and other cross-functional teams to operationalize data solutions. • Serve as a technical thought leader influencing multi-year data strategy and ...

Data Architect

Cedar Rapids, IA · On-site

$62.50 - $80.25/hr

Collaborate with DevOps, Engineering, Analytics, Data Governance, and other cross-functional teams to operationalize data solutions. * Serve as a technical thought leader influencing multi-year data ...

Data Architect

Cedar Rapids, IA · On-site

$62.50 - $80.25/hr

Collaborate with DevOps, Engineering, Analytics, Data Governance, and other cross-functional teams to operationalize data solutions. * Serve as a technical thought leader influencing multi-year data ...

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Data Engineer information

See Cedar Rapids, IA salary details

$43.7K

$127.4K

$174.4K

How much do data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer in Cedar Rapids, IA is $127,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $135,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Cedar Rapids, IA?

The most popular types of Data Engineer jobs in Cedar Rapids, IA are:

What are popular job titles related to Data Engineer jobs in Cedar Rapids, IA?

For Data Engineer jobs in Cedar Rapids, IA, the most frequently searched job titles are:

What cities near Cedar Rapids, IA are hiring for Data Engineer jobs?

Cities near Cedar Rapids, IA with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Cedar Rapids, IA as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,979 per year, or $61 per hour.

Data Engineer

Cedar Rapids, IA • On-site

Emergent Software
Software Development • 11 - 50 employees

$100K - $120K/yr

Full-time

Posted 18 days ago


Job description

**This is a direct hire, hybrid role for our client located in the Iowa City-Cedar Rapids metro. Eligible candidates are required in office for standing meetings each week. Candidates must be eligible to work in the United States without visa or sponsorship.**
Our client is seeking a Data Engineer to design, develop, and maintain the data infrastructure that supports reporting, analytics, and business decision-making across the organization. This role will build scalable data pipelines, improve data quality, and deliver reliable datasets that enable operational and strategic insights. Working closely with technical and business teams, the Data Engineer will transform complex data into actionable information that drives business performance. The ideal candidate is a problem-solver who enjoys working with large datasets, designing efficient data workflows, and continuously improving data reliability and performance.
Responsibilities
  • Design, develop, and maintain ETL/ELT pipelines supporting enterprise reporting and analytics.
  • Integrate data from ERP, manufacturing, and business systems into centralized data platforms.
  • Build and manage scalable data workflows across extraction, transformation, and loading processes.
  • Develop and maintain data models, testing frameworks, and technical documentation.
  • Monitor pipeline performance and troubleshoot data quality, schema, and workflow issues.
  • Collaborate with business stakeholders to understand data requirements and deliver scalable solutions.
  • Automate manual processes and improve data delivery efficiency.
  • Ensure data accuracy, consistency, security, and reliability across systems.
  • Stay current with emerging data engineering technologies and best practices.
Qualifications
  • Strong experience building and supporting production data pipelines.
  • Proficiency in SQL and Python.
  • Experience working with structured, semi-structured, and unstructured data.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and organizational skills.
  • Ability to manage multiple priorities in a fast-paced environment.
Nice to Haves
  • Experience in manufacturing, ERP, or operational data environments.
  • Experience with workflow orchestration tools such as Prefect or Apache Airflow.
  • Experience with CDC or incremental data processing strategies.
  • Familiarity with dbt, MongoDB, Redis, Microsoft SQL Server, and Docker.
  • Knowledge of modern data architecture and cloud analytics platforms.
Our Vetting Process
At Emergent Staffing, we work hard to find the data engineers who are the right fit for our clients. Here are the steps of our vetting process for this position:
  1. Application (5 minutes)
  2. Online Assessment (40 minutes)
  3. Initial Video Interview (30-45 minutes)
  4. Client Phone Interview (30 minutes)
  5. Client On-site interview (60 minutes)
  6. Job Offer!

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