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Data Engineer Manager Jobs in Iowa (NOW HIRING)

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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.

Deloitte

AI Security Engineer Manager

Davenport, IA · On-site

Solve complex problems while ensuring protection of data, models, and systems. Hands-On AI Security ... As a Manager in AI Security Engineering, you will play a critical role in securing the development ...

Deloitte

AI Security Engineer Manager

Des Moines, IA · On-site

Solve complex problems while ensuring protection of data, models, and systems. Hands-On AI Security ... As a Manager in AI Security Engineering, you will play a critical role in securing the development ...

Pwc

ERP AI Engineer - Manager

Des Moines, IA · On-site

$99K - $232K/yr

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

Pwc

Data Strategy & Governance -Director

Des Moines, IA · On-site

$155K - $410K/yr

... Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data Catalog Professional - Collibra Certified Ranger/Steward/Expert - SAP ...

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Data Engineer Manager information

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$41.8K

$121.8K

$166.7K

How much do data engineer manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data engineer manager in Iowa is $121,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 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 Iowa?

The most popular types of Data Engineer jobs in Iowa are:

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

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

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

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

What cities in Iowa are hiring for Data Engineer Manager jobs?

Cities in Iowa with the most Data Engineer Manager job openings:

Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Iowa as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $121,838 per year, or $58.6 per hour.

AI Data Engineer - Langchain | AWS | SQL | Onsite (Quad Cities)

Bettendorf, IA • On-site

MDAEdge
Custom Software Development Services • 51 - 200 employees
Learn more about MDAEdgeexternal

$102K - $123K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
MDAEdge is a leader in AI and data innovation, empowering organizations to drive growth and efficiency through cutting-edge technology. They are seeking a highly skilled AI Data Engineer with hands-on experience in Langchain, AWS, and SQL to design, develop, and maintain scalable data pipelines and manage large-scale datasets.
Responsibilities:
• Design, develop, and manage efficient data pipelines for large datasets, with a focus on scalability and performance.
• Leverage Langchain to automate workflows, enhance AI models, and streamline data-driven processes.
• Build and scale cloud data environments using AWS services such as S3, EC2, Lambda, Redshift, and more.
• Write advanced SQL queries for data extraction, transformation, and analysis. Ensure database performance and integrity.
• Partner with Data Scientists, AI Engineers, and cross-functional teams to ensure data readiness for machine learning and analytics use cases.
• Monitor and maintain data quality, implement error-handling procedures, and ensure adherence to privacy and compliance standards.
• Continuously improve and fine-tune data pipelines and queries for better performance and scalability.
• Create and maintain thorough documentation of data architecture, workflows, and processes for knowledge sharing and collaboration.
Qualifications:
Required:
• 3+ years as a Data Engineer, with a focus on AI or machine learning pipelines
• Proven experience using Langchain to develop AI workflows and automation
• Strong experience with large-scale data and distributed systems
• Proficiency in SQL and hands-on experience with both relational (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases
• Deep familiarity with AWS services such as S3, EC2, Lambda, Redshift, and RDS
• Proficient in Python
• Solid understanding of database design, data modeling, and query optimization
• Familiar with data warehousing concepts and tools
• Experience with data pipeline orchestration tools like Apache Airflow (or similar)
• Strong knowledge of AI/ML data workflows, including preprocessing and feature engineering
• Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field
• Excellent analytical and problem-solving abilities
• Strong communication skills, especially in explaining complex concepts to non-technical audiences
• Ability to manage multiple priorities in a fast-paced environment
• Collaborative and team-oriented work ethic
Preferred:
• Experience with Apache Spark, Kafka, or other big data tools
• Familiarity with Docker and Kubernetes for deploying scalable data solutions
• Knowledge of AI-specific workflows, such as data preparation for natural language processing (NLP), computer vision, or other AI domains
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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