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Manager Data Engineering Jobs in Iowa (NOW HIRING)

Pella Corporation

Associate Data Engineer

Urbandale, IA · On-site

$106.10K - $127.40K/yr

Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns ... Required Education & Experience: * 3+ years of experience in data engineering, analytics ...

Pella Corporation

Associate Data Engineer

Urbandale, IA · On-site +1

$108.40K - $130.10K/yr

Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns ... Required Education & Experience: * 3+ years of experience in data engineering, analytics ...

Pella Corporation

Associate Data Engineer

Urbandale, IA · On-site +1

$108.40K - $130.10K/yr

Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns ... Required Education & Experience: * 3+ years of experience in data engineering, analytics ...

Lee Enterprises

Data Engineer

Davenport, IA · On-site

$108.60K - $130.40K/yr

Build, optimize, and manage datasets for analytics, reporting, and operational use * Ensure data ... Pursue opportunities to continuously learn & adopt modern data engineering practices Required ...

Pwc

Data Engineer - Senior Associate

Des Moines, IA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Principal Financial Group

Sr Data Engineer I

Des Moines, IA · On-site

$111.70K - $134.20K/yr

Provide data engineering and analysis expertise to maximize effectiveness across multiple technologies. Set standards and oversee technical aspects of data management functions including creating ...

Kemper

Senior Data Engineer

Des Moines, IA

$103.40K - $140.50K/yr

Mentor engineering team members,facilitatecode reviews, and promote continuous learning and ... Manage technical execution across multiple initiatives, ensuring alignment with enterprise ...

Deloitte

AI Data Engineer - Senior Consultant

Des Moines, IA · On-site

$103.40K - $140.50K/yr

Required : • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics ... or more), including managed data platforms and scalable compute patterns. • 4+ years of ...

Workiva, Inc.

Data Operations Lead

Ames, IA

... and programming languages such as Java, Go, or Scala * Ingestion Frameworks : Management of ... Data Lakes: Experience with S3, Athena and Iceberg required Preferred Qualifications

Transamerica

Lead Data Engineer

Cedar Rapids, IA · On-site

$112.10K - $134.60K/yr

... management of enterprise data, including master data, reference data, metadata, data quality and lineage. Qualifications * Bachelor's degree in computer science, math, engineering, or relevant ...

Aegon

Lead Data Engineer

Cedar Rapids, IA

$112.10K - $134.60K/yr

... management of enterprise data, including master data, reference data, metadata, data quality and lineage. Qualifications * Bachelor's degree in computer science, math, engineering, or relevant ...

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Manager Data Engineering information

See Iowa salary details

$29.1K

$91.2K

$161.6K

How much do manager data engineering jobs pay per year?

As of May 31, 2026, the average yearly pay for manager data engineering 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 are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

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 of 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 are Manager Data Engineering roles and responsibilities?

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 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 Iowa? The most popular types of Data Engineering jobs in Iowa are:
What are popular job titles related to Manager Data Engineering jobs in Iowa? For Manager Data Engineering jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Iowa look for? The top searched job categories for Manager Data Engineering jobs in Iowa are:
What cities in Iowa are hiring for Manager Data Engineering jobs? Cities in Iowa with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Iowa as of May 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $91,245 per year, or $43.9 per hour.
Associate Data Engineer

Associate Data Engineer

Pella Corporation

Urbandale, IA • On-site

$106.10K - $127.40K/yr

Full-time

Posted 24 days ago

Pella rating

7.7

Company rating: 7.7 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

186th of 512 rated manufacturers

Job description

Job Description
Associate Data Engineer
Urbandale, IA or Remote
The Associate Data Engineer supporting Digital, Marketing, and Pro CX at Pella is responsible for building and maintaining the data foundations that enable scalable, reliable analytics across customer experience, digital performance, and marketing functions. This role focuses on designing data pipelines, transforming and modeling data, and ensuring high-quality, well-governed data is available for analytics, reporting, and advanced use cases.
This individual will work cross-functionally with the Digital team, Marketing team, and Pro CX team to support a wide range of analytics needs, including digital performance measurement, customer journey analysis, and marketing effectiveness. While not embedded within a single function, the role plays a critical part in enabling these teams by delivering trusted, production-ready data that supports insight generation and decision-making across Pella.
In this role, you will:
  • Design, build, and maintain reliable and scalable data pipelines using Azure-native services and Databricks to ingest data from digital, marketing, and enterprise systems.
  • Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns that support reporting, dashboards, and downstream analytics use cases.
  • Implement data transformations, validations, and quality checks within Databricks to ensure data is accurate, consistent, and production ready.
  • Optimize data pipelines and models for performance, cost, reliability, and reusability across the analytics ecosystem.
  • Enable analytics and BI use cases by making curated data easily consumable in Power BI and other analytics tools.
  • Partner closely with analysts, data scientists, and business stakeholders to translate analytical requirements into scalable technical solutions.
  • Collaborate with platform, integration, and vendor teams to onboard new data sources and evolve existing pipelines.
  • Document data pipelines, models, definitions, lineage, and assumptions to support governance, discoverability, and reuse.
  • Contribute to the continuous improvement of analytics standards, engineering best practices, and architecture patterns.
  • Support Digital, Marketing, and Pro CX teams by aligning analytics data with customer journeys, digital tools, and measurement frameworks.

Required Education & Experience:
  • 3+ years of experience in data engineering, analytics engineering, or a related technical analytics role.
  • Strong experience building data pipelines and transformations using Databricks (or comparable cloud-based data engineering platforms).
  • Hands-on experience with Microsoft Azure data services such as Azure Data Lake Storage, Azure Synapse, or similar.
  • Strong SQL skills, including complex joins, aggregations, window functions, and query optimization.
  • Proficiency in Python for data transformation, automation, and pipeline development.
  • Experience designing analytics data models (e.g., star schemas, fact and dimension tables).
  • Experience supporting BI and analytics tools, with a strong preference for Power BI.
  • Familiarity with digital and marketing data sources such as web analytics platforms, CRM systems, and advertising platforms.
  • Ability to collaborate effectively with analysts, data scientists, and business partners.
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

Preferred Experience:
  • Experience with:
    • Databricks lakehouse architectures, Delta Lake, and notebook-based development.
    • Power BI semantic models, performance optimization, and enterprise reporting patterns.
    • Data governance, metadata management, and documentation practices.
    • Google Cloud Platform technologies such as BigQuery, Google Analytics, or Google Tag Manager.
    • Integrating data from platforms such as Salesforce, Fullstory, or other customer and digital experience tools.
    • Supporting cross-functional teams such as Digital, Marketing, Customer Experience, or E-commerce.
    • Modern CI/CD or version control practices for data pipelines and analytics assets.

Nice to Haves:
  • Experience working in hybrid-cloud or multi-platform analytics environments.
  • Familiarity with data quality frameworks, monitoring, and observability.
  • Interest in contributing to evolving enterprise analytics strategy and standards.

About Us
About Pella Corporation
As the #1 most-preferred national window and door brand by homeowners across the country, Pella Corporation leads the industry in innovation and design. Founded in 1925, today the Pella Family of Brands encompasses a robust product offering sold and installed through various channels. We are a growing, privately owned company with 20 manufacturing locations and over 10,000 team members in the U.S. and Canada. Pella is consistently recognized as a great place to work by Newsweek, Forbes and Glassdoor, having most recently been named to America's Greatest Workplaces for Diversity by Newsweek in 2024, as well as Forbes' 2024 Best Employers for Women and Best-In-State Employer in Iowa. We have also received numerous accolades for innovation and design, including Fast Company's Best Workplaces for Innovators in 2024 and Most Innovative Manufacturers for 2022 and 2023.
At Pella, our team cares deeply, learns continuously and achieves results that go beyond. We encourage creative thinking that seeks out and includes diverse perspectives. And we empower you to do the work you're most proud of - that's why we offer individualized talent development plans, cross-functional experiences and opportunities for career advancement through personal and professional development.
With talent just like you, we are imagining, building and fighting for a brighter future for generations to come. Ready to find a career that sparks your passion?

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About Pella

Sourced by ZipRecruiter

Pella Corporation, headquartered in Pella, IA, is an innovative leader in creating a better view for homes and businesses by designing, testing, manufacturing, and installing quality windows and doors for new construction, remodeling, and replacement applications. Founded in 1925, Pella is a family-owned and professionally managed privately held company, known for its history of innovation, making outstanding products, providing quality service, and delivering on customer satisfaction. The company is committed to incorporating new technologies, increasing productivity, and practicing environmental stewardship.

Industry

Building materials and garden equipment dealers

Company size

5,001 - 10,000 Employees

Headquarters location

Pella, IA, US

Year founded

1925

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