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

Emergent Software

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 ... Build and manage scalable data workflows across extraction, transformation, and loading processes.

Centro, Inc

Data Engineer

North Liberty, IA · On-site

$104K - $125K/yr

Principal Software Engineer Position Summary Centro is seeking a Data Engineer to design, develop ... Build and manage data workflows across extraction, change data capture (CDC), transformation, and ...

Altorfer CAT

Enterprise Lead Data Engineer

Cedar Rapids, IA · On-site

$100K - $132K/yr

Implement and manage Medallion Architecture, including Bronze, Silver, and Gold data layers ... Data Engineering and Integration * Design, develop, test, deploy, monitor, and support ETL and ELT ...

New

1 point system

AWS Data Engineer (Financial)

Cedar Rapids, IA · On-site

$112K - $134K/yr

Working knowledge of S3 bucket structures, data organization, lifecycle management, and integration ... Experience leveraging AI tools and technologies to enhance data engineering or analytics workflows.

Proctor & Gamble

Engineering Manager

Iowa City, IA · On-site

... engineer eager to apply your technical leadership to groundbreaking challenges? Do you possess a ... Build digital landscapes for production equipment and lead data analytics for control system ...

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Data Engineer Manager information

See Cedar Rapids, IA salary details

$43.7K

$127.4K

$174.4K

How much do data engineer manager jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data engineer manager 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 does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

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 Manager jobs in Cedar Rapids, IA?

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

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

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

Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Cedar Rapids, IA as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $127,446 per year, or $61.3 per hour.

Data Engineer

Cedar Rapids, IA • On-site

Emergent Software
Software Development • 11 - 50 employees
Learn more about Emergent Softwareexternal

$100K - $120K/yr

Full-time

Posted 17 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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