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Manager Data Engineering Jobs in Waukee, IA (NOW HIRING)

SHAZAM

Data Architect

Johnston, IA · On-site

$120K - $170K/yr

Work with management to define and execute the organization's long-term data architecture strategy ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, along ...

Shazam

Data Architect

Johnston, IA · On-site

$120 - $170/hr

Work with management to define and execute the organization's long-term data architecture strategy ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, along ...

Pwc

Data Governance- Manager

Des Moines, IA · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Pwc

AI Engineer

Des Moines, IA · On-site

$50K - $112K/yr

Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, Information Technology - At least one of the following: Certifications aligned to data ...

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Showing results 21-40

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Waukee, IA

Manager Data Engineering information

See Waukee, IA salary details

$29.7K

$93.2K

$164.9K

How much do manager data engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for manager data engineering in Waukee, IA is $93,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $120,400.00 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 cities near Waukee, IA are hiring for Manager Data Engineering jobs?

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

Manager Data Engineering jobs near you

Director Data Management- Hybrid- Des Moines, Iowa

Wellabe, Inc.

Des Moines, IA • On-site

$140 - $190/hr

Other

Medical, Retirement, PTO

Posted 2 days ago

New

Job description

Director Data Management- Hybrid- Des Moines, Iowa

Job Category: Data & Analytics

Requisition Number: DIREC001980

  • Posted : August 12, 2026
  • Full-Time
  • Hybrid
Locations

Showing 1 location

Description

Wellabe is looking for a Director of Data Management to join our team. As a Director of Data Management, you will report to Chief Data & Analytics Officer and lead the design, delivery, and modernization of our enterprise data platform. This role will oversee the migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using the medallion architecture, establishing a scalable, high-performance single source of truth that powers analytics, reporting, and AI/ML across the insurance value chain.

As a senior leader, you will guide the onsite and remote data engineering team, set data platform strategy, and ensure delivery of cloud-native, reliable, and business-ready data assets. You will partner with architecture, analytics, governance, and business leaders to align the enterprise data platform with business objectives.

Core Responsibilities
  • Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization.
  • Oversee data modernization efforts, including migration from legacy Azure SQL Server to Azure Databricks Lakehouse.
  • Lead and mentor data engineers, fostering technical excellence and delivery accountability.
  • Partner with enterprise data and solution architects to ensure data models, pipelines, and platform design meet business needs.
  • Transform a fragmented data ecosytem to deliver a single source of truth for insurance domains.
  • Ensure data availability, scalability, and reliability for analytics, reporting, and digital initiatives.
  • Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access.
  • Prioritize and manage the enterprise data portfolio, aligning data investments with business value, strategic initiatives, and operational outcomes.
  • Manage budget, resourcing, and vendor relationships to scale platform capabilities.
  • Stay current on emerging technologies (Databricks, streaming, AI/ML enablement) to evolve the platform roadmap.
  • Own the Databricks platform and help guide business users on adoption of the Lakehouse.
Qualifications
  • Expertise with Azure Data Services (Data Lake, Data Factory, Synapse, Event Hub, Key Vault).
  • Ability to lead teams while defining enterprise platform strategy and technical roadmap.
  • Excellent communication and leadership skills influence technical and business stakeholders.
  • Familiarity with the DAMA/DMBOK practice and standards.
  • Familiarity with streaming/real-time ingestion (Kafka, Event Hub) is required.
  • 10+ years of experience in data engineering, architecture, or platform leadership, with at least 5 years in team management. Insurance or financial services experience is required.
  • Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems in Databricks or Snowflake.
  • Hands-on experience with Databricks Lakehouse (PySpark, Delta Lake, Unity Catalog).
  • Strong background in data modeling, ETL/ELT frameworks, and data warehousing.
  • Experience working with compliance regulations and handling of PHI/PII data.
  • Exposure to AI/ML and data science workloads in Databricks or Snowflake.
  • Experience with DevOps and automation frameworks (Azure DevOps, Terraform, GitHub Actions).
Education
  • Bachelor's degree in computer science, business/data analytics, management information systems, information technology or related field. Combination of education and/or relevant work experience may be accepted in lieu of degree
  • 401(k) with company match
  • Health insurance
  • Paid time off, holidays
  • Volunteer time off
  • Lifestyle Spending Account (LSA)
  • Paternity leave
Growth opportunities

We believe each of us has potential to grow and adapt with our business. We take your career as seriously as you do. Helping you develop your skills and talents leads to opportunities — not only for you, but also for our company. That’s why we provide:

  • CliftonStrengths® assessment and coaching
  • On-site and virtual workshops and cohorts featuring world-class content from FranklinCovey, Crucial Learning, Gallup, and more
  • Free world-class insurance acumen courses through AHIP and LOMA
  • Reimbursement and bonus opportunities for professional designations and certifications, including a tuition reimbursement program
  • Opportunities to take part in Wellabe's mentorship programs

Since 1929, Wellabe has been finding solutions to help our customers protect their health and financial well-being. And we’re committed to fostering an internal culture of inclusivity, well-being, and development so each of our team members can succeed. Learn more about Wellabe’s culture of betterment by visiting wellabe.com/culture .

Wellabe is full of smart, caring, hard-working people with a broad range of talents who understand collaboration is key. We bring our best selves every day, to connect with others to solve problems, spark innovation, and bring ideas to life. Meet the team and learn what makes Wellabe a great place to work by visiting wellabe.com/news/employee-spotlights .

Our core values:

  • Be dedicated:Show unwavering commitment by proactively taking initiative, setting clear goals, and managing time effectively.
  • Be trustworthy:Take accountability for actions, navigate difficult conversations with integrity, and build strong relationships through consistent, honest behavior.
  • Be determined:Demonstrate enthusiasm and a relentless drive to overcome obstacles and achieve goals.
  • Be collaborative:Foster teamwork by being self-aware, actively listening, and effectively communicating across all levels.
  • Be open:Embrace diversity and new ideas to create an inclusive environment.
  • Be generous:Embody generosity and compassion by serving a greater purpose and helping others.
  • Be better:Commit to continuous improvement and adapt effectively to change.
  • Be well:Prioritize physical and mental health, manage stress, and demonstrate emotional intelligence.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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