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Manager Data Engineering Jobs in Cedar Rapids, IA

Data Engineer

North Liberty, IA ยท On-site

$104K - $125K/yr

Build and manage data workflows across extraction, change data capture (CDC), transformation, and ... Stay current with emerging data engineering technologies, tools, and best practices. Required ...

Data Engineer

Cedar Rapids, IA ยท On-site

$100K - $120K/yr

Build and manage scalable data workflows across extraction, transformation, and loading processes ... Stay current with emerging data engineering technologies and best practices. Qualifications

Data Engineer (Hybrid)

Cedar Rapids, IA ยท Hybrid

$112K - $134K/yr

... P/CRM systems, operational systems) and unstructured data such as file shares, SharePoint repositories, images, documents, logs, and engineering artifacts. * Engineer data solutions that can ...

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Showing results 1-20

Manager Data Engineering information

See Cedar Rapids, IA salary details

$30.3K

$95.1K

$168.4K

How much do manager data engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for manager data engineering in Cedar Rapids, IA is $95,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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

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

What job categories do people searching Manager Data Engineering jobs in Cedar Rapids, IA look for?

The top searched job categories for Manager Data Engineering jobs in Cedar Rapids, IA are:

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

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

Infographic showing various Manager Data Engineering job openings in Cedar Rapids, IA as of July 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $95,094 per year, or $45.7 per hour.

Data Engineer

Centro, Inc

North Liberty, IA โ€ข On-site

$104K - $125K/yr

Full-time

Re-posted 14 days ago


Job description

Location: North Liberty, IA with occasional travel as needed
Department: Information Technology
Reports To: 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-making across the organization. This role will be responsible for building scalable data pipelines, improving data quality, and delivering reliable datasets that enable operational and strategic insights. Working within Centro's Harbor data platform, the Data Engineer will collaborate with technical and business teams to transform complex data into actionable information.

The ideal candidate is a problem-solver who enjoys working with large datasets, designing efficient data workflows, and continuously improving data reliability and performance.

Essential Duties and Responsibilities

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Responsibilities include, but are not limited to:

  • Design, develop, and maintain ETL pipelines supporting enterprise reporting and analytics.
  • Build and manage data workflows across extraction, change data capture (CDC), transformation, and loading processes.
  • Orchestrate scheduled and on-demand workflows using Prefect.
  • Integrate data from ERP, manufacturing, and business systems into centralized data platforms.
  • Stage and transform source data within MongoDB environments and load curated datasets into Microsoft SQL Server.
  • Implement incremental processing strategies utilizing Redis-backed CDC methodologies.
  • Convert complex, nested, and multi-value data structures into relational data models optimized for reporting and analytics.
  • Develop and maintain dbt models, data tests, and supporting documentation.
  • Monitor pipeline performance and troubleshoot data quality issues, schema changes, and workflow failures.
  • Collaborate with business stakeholders to understand data requirements and develop scalable solutions.
  • Create and maintain technical documentation, operational procedures, and support resources.
  • Identify opportunities to automate manual processes and improve data delivery efficiency.
  • Ensure data accuracy, consistency, security, and reliability across systems.
  • Stay current with emerging data engineering technologies, tools, and best practices.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field; or an equivalent combination of education and experience.
  • Strong experience designing, building, and supporting production data pipelines.
  • Proficiency in SQL and Python for enterprise data processing and integration.
  • Experience working with structured, semi-structured, and unstructured data.
  • Demonstrated ability to troubleshoot and optimize data workflows and performance.
  • Strong analytical, organizational, and problem-solving skills.
  • Effective written and verbal communication skills.
  • Ability to manage multiple priorities and adapt to changing business needs.

Preferred Qualifications

  • Experience within manufacturing, ERP, or operational data environments.
  • Experience with workflow orchestration platforms such as Prefect or Apache Airflow.
  • Experience implementing change data capture (CDC) or incremental loading strategies.
  • Experience with dbt for data modeling, testing, and documentation.
  • Familiarity with MongoDB, Redis, and Microsoft SQL Server.
  • Experience working with containerized development environments, including Docker.
  • Knowledge of cloud-based analytics and modern data architecture concepts.

Physical Requirements & Work Environment

  • Primarily office-based work performed in a professional business environment.
  • Occasional exposure to manufacturing environments, including production floor areas.
  • Ability to sit, stand, walk, and use computer equipment for extended periods of time.
  • Occasional travel may be required.
  • Typical schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m., with flexibility as business needs require.

Why Join Centro?

Centro is the leading company in rotational molding with a long-standing commitment to innovation, quality, and employee development. We offer a collaborative environment where team members play a direct role in improving business processes and supporting strategic growth through technology and data-driven decision making.


Centro is an Equal Opportunity Employer.

A pre-employment drug-test is required.



8:00 AM - 5:00 PM

Centro CDX logo

About Centro CDX

Sourced by ZipRecruiter

Industry

Strategic planning consulting services

Company size

1,001 - 5,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2009