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Weekend Data Engineering Jobs in Iowa (NOW HIRING)

Data Engineer

Johnston, IA · On-site +1

$60 - $75/hr

Collaborating with data scientists, analysts, and business stakeholders to align data engineering solutions with strategic goals and analytical needs. * Implementing and managing scalable data ...

Data Engineer

Davenport, IA

$108.60K - $130.40K/yr

Pursue opportunities to continuously learn & adopt modern data engineering practices Required Skills: * Mastery of SQL, with system-agnostic knowledge of syntax & optimization * Proficiency across ...

Data Engineer

Davenport, IA

$108.60K - $130.40K/yr

Pursue opportunities to continuously learn & adopt modern data engineering practices Required Skills: * Mastery of SQL, with system-agnostic knowledge of syntax & optimization * Proficiency across ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Associate Data Engineer

Urbandale, IA · On-site

$106.10K - $127.40K/yr

Required Education & Experience: * 3+ years of experience in data engineering, analytics engineering, or a related technical analytics role. * Strong experience building data pipelines and ...

Associate Data Engineer

Urbandale, IA · On-site +1

$108.40K - $130.10K/yr

Required Education & Experience: * 3+ years of experience in data engineering, analytics engineering, or a related technical analytics role. * Strong experience building data pipelines and ...

Associate Data Engineer

Urbandale, IA · On-site +1

$108.40K - $130.10K/yr

Required Education & Experience: * 3+ years of experience in data engineering, analytics engineering, or a related technical analytics role. * Strong experience building data pipelines and ...

Data Engineer

Davenport, IA · On-site

$108.60K - $130.40K/yr

Pursue opportunities to continuously learn & adopt modern data engineering practices Required Skills: * Mastery of SQL, with system-agnostic knowledge of syntax & optimization * Proficiency across ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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 ...

Lead Data Engineer

Cedar Rapids, IA · On-site

$112.10K - $134.60K/yr

Bachelor's degree in computer science, math, engineering, or relevant technical field * Five years of collective experience in the application of data engineering, data analytics, data warehousing ...

Lead Data Engineer

Cedar Rapids, IA · On-site

$112.10K - $134.60K/yr

Bachelor's degree in computer science, math, engineering, or relevant technical field * Five years of collective experience in the application of data engineering, data analytics, data warehousing ...

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

AWS Data Engineer (Financial)

Cedar Rapids, IA · On-site

$112.10K - $134.60K/yr

Experience leveraging AI tools and technologies to enhance data engineering or analytics workflows. * Practical knowledge of grounding large language models (LLMs) to structured data stores , such as ...

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Weekend Data Engineering information

Do data engineers work weekends?

Data engineers typically work standard weekday hours, but they may need to work weekends or outside regular hours to meet project deadlines, perform system maintenance, or address urgent issues. Flexibility is often required, especially in environments with 24/7 data operations or during critical system updates.

What engineering jobs pay $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. High-level roles in technology companies or finance firms tend to offer these compensation levels for top-tier talent.

What jobs in the US pay $300,000 a year?

In data engineering, senior roles such as Lead Data Engineer or Data Engineering Manager can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High-level positions in finance, technology, and consulting also often pay this amount or more, typically requiring specialized expertise and leadership responsibilities.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What are the most commonly searched types of Data Engineering jobs in Iowa? The most popular types of Data Engineering jobs in Iowa are:

Data Engineer - Workforce Data Engineering (Hybrid in Des Moines, IA)

Principal Financial Group

Des Moines, IA • Hybrid

$62K - $105K/yr

Full-time

Posted yesterday


Job description

What You'll Do
Data Engineer – Workforce Data Engineering Team

What if your role in data engineering didn’t just move data… but shaped how a global workforce operates?

As part of our Workforce Data Engineering team, you’ll work with data representing 20,000+ employees—connecting systems, uncovering insights, and enabling smarter decisions about hiring, development, and productivity.

This is more than pipelines—it’s a puzzle. You’ll act as a data detective, uncovering relationships and turning fragmented data into something meaningful.

Why This Role Is Exciting

This isn’t a “learn by watching” role—it’s a learn by doing, building, and experimenting opportunity. You will:

  • Work hands-on with cutting-edge data platforms and AI-enabled technologies
  • Collaborate with teams across the company to solve real business problems
  • Curate and connect data for a global workforce of 20,000+ employees
  • Explore new and creative use cases for workforce and employee data
  • Develop AI agents and tools that help leaders and employees get answers faster

Every dataset you touch has a real outcome—helping someone make a better decision, faster.

What We Do

We transform fragmented workforce data into trusted, enterprise-ready data products by:

  • Creating a unified view of employees across systems
  • Enabling insights into hiring, productivity, and learning
  • Delivering datasets that power analytics, reporting, and AI
Career Growth & Mobility

This role is part of our broader Enterprise Hub Data Engineering organization. While your initial focus will be workforce data, our engineers frequently partner across other hub teams as business needs evolve —supporting domains such as customer interactions, party/product data, reference data, and advanced analytics.

This gives you the opportunity to expand your experience across multiple data domains over time.

Ready to Build, Explore, and Make an Impact?

If you enjoy solving puzzles, learning modern technologies, and seeing your work directly influence people and outcomes—you’ll thrive here.

Operating at the intersection of financial services and technology, Principal builds financial tools that help our customers live better lives. We take pride in being a purpose-led firm, motivated by our mission to make financial security accessible to all. Our mission, integrity, and customer focus have made us a trusted leader for more than 140 years.


Who You Are
  • Bachelor's degree or a Master's degree in a related field
  • Proficiency in SQL, Python and version control tools like GitHub
  • Basic planning, organizational, problem-solving, analytical, decision-making and communication skills
  • Highly self-motivated with excellent time management skills
  • Ability to provide on-call support
Skills That Will Help You Stand Out
  • Experience with Snowflake and AWS services
  • Ability to work directly with data and datastores through programming languages such as SQL, Python, etc.
  • Experience working in an Agile environment, including familiarity with tools like Jira and Confluence
  • Experience integrating and managing datasets from multiple sources
  • Experience with a variety of data modeling techniques and data structures
  • Ability to optimize data for analytics and data science
  • Ability to effectively communicate strategies and designs to all levels of the company

Salary Range Information
Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
Salary Range (Non-Exempt expressed as hourly; Exempt expressed as yearly)
$62000 - $105000 / year
Salary Details

The following salary ranges reflect market-specific compensation for this position across multiple job levels. Candidates will be evaluated to determine the appropriate job level based on their skills and experience. 

  • Data Engineer I: $62,000- $84,000 / year
  • Data Engineer II: $77,000- $105,000 / year

Time Off Program
Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don't accrue a bank of time off under FTO and there is no set number of days provided.
Pension Eligible
Yes Work Environment

This role offers in-office or hybrid (blending at least three office days in a typical workweek) work arrangements out of our Des Moines, Iowa World Headquarters.

Job Level

We’ll consider talent at the next level, Data Engineer II, with the right experience and skills.

Hours

This role will partner with our global teams and has an expectation for flexibility in your work schedule. Hours may start at 7:00 a.m. CST.

Work Authorization/Sponsorship

At this time, we're not considering applicants that need any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please use the following links.

Nonimmigrant Workers and Green Card for Employment-Based Immigrants

Investment Code of Ethics

For Principal Asset Management positions, you’ll need to follow an Investment Code of Ethics related to personal and business conduct as well as personal trading activities for you and members of your household. These same requirements may also apply to other positions across the organization.

Experience Principal

At Principal, we value connecting on both a personal and professional level. Together, we’re imagining a more purpose-led future for financial services – and that starts with you. Our success depends on the unique experiences, backgrounds, and talents of our employees. And we support our employees the same way we support our customers: with comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being. Check out our careers site to learn more about our purpose, values and benefits.

Principal is an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.


Posting Window
We will accept applications for 3 full days following the Original Posting Date, after which the posting may remain open or be removed based upon applications received. If we choose to post the job again, we will accept additional applications for at least 1 full day following the Most Recently Posted Date. Please submit applications in a timely manner as there is no guarantee the posting will be available beyond the applicable deadline.
Original Posting Date
5/27/2026
Most Recently Posted Date
5/28/2026

Principal uses artificial intelligence tools to assist in reviewing and evaluating job applications, fraud prevention, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Workforce (U.S.) Privacy Notice for more details on our practices and your data privacy rights.

Qualifications:
  • Bachelor's degree or a Master's degree in a related field
  • Proficiency in SQL, Python and version control tools like GitHub
  • Basic planning, organizational, problem-solving, analytical, decision-making and communication skills
  • Highly self-motivated with excellent time management skills
  • Ability to provide on-call support
Skills That Will Help You Stand Out
  • Experience with Snowflake and AWS services
  • Ability to work directly with data and datastores through programming languages such as SQL, Python, etc.
  • Experience working in an Agile environment, including familiarity with tools like Jira and Confluence
  • Experience integrating and managing datasets from multiple sources
  • Experience with a variety of data modeling techniques and data structures
  • Ability to optimize data for analytics and data science
  • Ability to effectively communicate strategies and designs to all levels of the company
Education:UNAVAILABLEEmployment Type: FULL_TIME