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Part Time Data Engineering Jobs in Iowa (NOW HIRING)

Civil Engineer in Training

Des Moines, IA · On-site

$61K - $71K/yr

... engineering disciplines and professionals in the coordination of the project. * Perform data ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Civil Engineer in Training

Des Moines, IA · On-site

$61K - $71K/yr

... engineering disciplines and professionals in the coordination of the project. * Perform data ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Behavior Technician (Part-Time)

Ames, IA · On-site

$17.75 - $23.25/hr

... programming. Schedule * Part-Time / Monday - Friday * 12:30pm-4:45pm shift What You'll Do ... Maintain appropriate records, collect data and complete of treatment notes as required and within ...

Its data-forward, full-service but configurable solutions provide the highest levels of data ... DESCRIPTION Michael Baker International is seeking to hire Part-Time Summer 2026 Interns work in ...

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Part Time Data Engineering information

What are the key skills and qualifications needed to thrive as a Part Time Data Engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What are the most commonly searched types of Data Engineering jobs in Iowa? The most popular types of Data Engineering jobs in Iowa are:
Infographic showing various Part Time Data Engineering job openings in Iowa as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Sustainability Data Engineering Manager

Sustainability Data Engineering Manager

Corteva Agriscience

Des Moines, IA • On-site

$111K/yr

Part-time

Medical, Retirement, PTO

Re-posted 5 days ago


Job description

Who Are We, And What Do We Do?
At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.
Corteva Agriscience has an exciting opportunity for a Sustainability Data Engineering Manager within our Corporate Strategy organization.
The Sustainability Data Engineering Manager will be responsible for the ongoing management, maintenance, and enhancement of sustainability technology solutions, including Microsoft Fabric, Microsoft Sustainability Manager (MSM), and Environmental Resilience Analytics (ERA). This role ensures seamless operation of ESG reporting tools, data pipelines, and dashboards, while supporting compliance, data governance, and infrastructure optimization.
Primary Responsibilities - How will you help us Grow!
Application Management
  • Own and resolve data and metric calculation issues across MSM and ERA.
  • Maintain dashboards and reports for internal and external stakeholders.
  • Manage system interfaces and integrations (upstream/downstream).
  • Ensure compliance with sustainability regulations and standards.
  • Support data analysis and insights generation.
  • Maintain and update configurations in MSM, SDSF, and Fabric.
  • Apply updates and patches from Microsoft GIT to MSM and related Power Platform applications.

Infrastructure Management
  • Oversee license management and renewals.
  • Manage data ingestion, transformation, and storage pipelines in Fabric.
  • Implement and monitor security protocols and data governance controls in Power Platform and Fabric environments.
  • Integrate systems and tools across the Microsoft sustainability tech stack.
  • Optimize cloud resources and ensure system uptime and backups in Power Platform Admin Center and Fabric Admin Portal.

Solution Utilization & Enhancements
  • Lead change management for new data flows and notification systems.
  • Maintain internal knowledge base and training materials.
  • Manage backlog of feature enhancements and prioritize updates.
  • Enhance methodologies, reporting templates, and dashboard visualizations.
  • Re-run data jobs and upload remediated data during error handling.
  • Perform manual data runs outside scheduled freeze dates as needed.

Team Leadership and Development
  • This role may grow to include one or more direct reports focused on data architecture or analytics.
  • Responsible for onboarding and mentoring new hires, consultants, or part-time contributors supporting data systems.

Education and Experience - What you will bring to the table!
  • Bachelor's or Master's degree(s) in Sustainability, Data Science, Information Systems, or related field is preferred but not required.
  • 5+ years of experience in ESG reporting or sustainability technology management.
  • 3+ Years experience in Managing Fabric One-Lake, Synapse Analytics, Databricks workspaces for a global enterprise.
  • Certifications in Microsoft Power Platform or Azure are a plus.
  • Proficiency in Microsoft Power Platform (Power BI, Power Automate, Power Apps, Dataverse, Fabric Compute).
  • Experience with Microsoft Fabric, Lakehouse, Delta Lake, Azure SQL, Azure Blob Storage, and One-Lake Architecture(s).
  • Familiarity with MSM, ArcGIS, and ESG data schemas.
  • Strong understanding of data governance, compliance, and security protocols.
  • Experience with cloud resource monitoring and optimization.

Additional Competencies
Analytical & Reporting Skills
  • Ability to analyze ESG data and generate actionable insights.
  • Experience in dashboard design and report automation.
  • Knowledge of sustainability frameworks (CSRD, TCFD, CDP, ISSB).

Project & Change Management
  • Experience managing data-change in data collection and reporting processes.
  • Ability to prioritize and manage a backlog of enhancements.
  • Strong documentation and knowledge base management skills.

Soft Skills
  • Excellent communication and stakeholder engagement.
  • Strong problem-solving and troubleshooting abilities.
  • Collaborative mindset with cross-functional teams (IT, ESG, Data Owners).

Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.