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Part Time Data Engineering Jobs in Iowa (NOW HIRING)

The Part-Time Student Program is primarily designed to augment the Company's regular full-time ... science, engineering, agronomy, UX, and product subject matter experts. * Apply data science and ...

$15 - $40/hr

Product Engineering (CA) Title: Part-Time Student - Engineering - Waterloo, IA - 124114 Onsite ... data processing and interpretation * Gather and organize the information required to return parts ...

New

$15 - $40/hr

The Part-Time Student Program is primarily designed to augment the Company's regular full-time ... Pursuing a PHD in Industrial Engineering/Operation Research, Computer Science, Data Science At John ...

$69K - $93K/yr

Factory Engineering (CA) Title: Part Time Student - Industrial Engineer - Waterloo, IA - 122396 ... Output standards are used in baseline data for wage performance pay plans, product costing, and ...

$15 - $40/hr

The Part-Time Student Program is primarily designed to augment the Company's regular full-time ... Engineering, Electrical Engineering, Machine Learning/Artificial Intelligence, Data Science ...

$15 - $40/hr

The Part-Time Student Program is primarily designed to augment the Company's regular full-time ... Engineering, Electrical Engineering, Machine Learning/Artificial Intelligence, Data Science ...

Product Engineering (CA) Title: Part-Time Student - Product Engineering - Ames, IA, or Silvis, IL ... • Data analytics experience (Python, R, SQL) • Strong familiarity with Microsoft Excel ...

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Showing results 1-20

Part Time Data Engineering information

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 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 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.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

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 Part Time Data Engineering jobs in Iowa?

For Part Time Data Engineering jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineering jobs in Iowa look for?

The top searched job categories for Part Time Data Engineering jobs in Iowa are:

What cities in Iowa are hiring for Part Time Data Engineering jobs?

Cities in Iowa with the most Part Time Data Engineering job openings:

Infographic showing various Part Time Data Engineering job openings in Iowa as of August 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.

Part-Time Student - Data Science and Analytics - Urbandale, IA or Austin, TX

Part-time

Medical, Retirement, PTO

Posted 11 days ago


John Deere rating

7.7

Company rating: 7.7 out of 10

Based on 296 frontline employees who took The Breakroom Quiz


Job description

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.

John Deere is an equal opportunity employer, including disabled & veterans.

Primary Location: United States (US) - Iowa - Urbandale Function: Data and Analytics (CA) Title: Part-Time Student - Data Science and Analytics - Urbandale, IA or Austin, TX - 122125 Onsite/Remote: Onsite Position

Note: Relocation assistance is not provided.

The Part-Time Student Program is primarily designed to augment the Company's regular full-time staff and is for students who work in parallel to their school schedule YEAR-ROUND .

Your Responsibilities

As a Part Time Student - Data Science and Analytics for Intelligent Solutions Group Urbandale located in Urbandale, IA , or Austin, TX you will be:

  • Explore analytical problems and develop creative, data-driven solutions using modern data science, analytics, and AI techniques.
  • Ingest, evaluate, clean, transform, and prepare structured and unstructured data for use in algorithms, models, dashboards, and analytical solutions.
  • Build analysis tools, prototypes, data pipelines, and dynamic visualizations to accelerate insight generation and support decision-making for internal customers and product teams.
  • Support the development and evaluation of algorithms, machine learning models, causal inference methods, and GenAI-enabled workflows.
  • Research new analytical, visualization, automation, and AI methodologies in collaboration with data science, engineering, agronomy, UX, and product subject matter experts.
  • Apply data science and statistical techniques to solve business and product problems across the product lifecycle.
  • Communicate findings, methodologies, assumptions, and recommendations clearly to technical and non-technical stakeholders at multiple levels.
  • Work effectively in a collaborative, cross-functional environment while demonstrating curiosity, continuous learning, attention to detail, and high standards of quality.

VISA Sponsorship is NOT Available for this position.

What Skills You Need

  • Graduate-level academic experience preferred, including current enrollment in a Master's or PhD program in Data Science; others may apply.
  • Graduation date of Spring 2027 or later.
  • Available to work during the academic year (16-20 hours weekly).
  • Available to work during the summer semester (30-40 hours weekly).
  • Must be registered as a full-time student at a U.S/local accredited university/college
  • Cumulative GPA of 3.0 or above.
  • Must be able to commute to the work location in Urbandale, IA or Austin, TX on a daily basis. NOTE: Relocation assistance is not provided.
  • Strong analytical and problem-solving skills with the ability to explore ambiguous business or technical problems.
  • Proficiency in Python, including experience with algorithms and data structures.
  • Proficiency in SQL.
  • Experience working with Generative AI tools.
  • Foundational knowledge of machine learning and statistics.
  • Knowledge of big data analysis, including experience or coursework with distributed data processing frameworks such as Apache Spark.
  • Ability to create analytical outputs, dashboards, visualizations, or tools that help generate insights for customers and stakeholders.
  • Strong communication skills, including the ability to explain technical methods and findings clearly to both technical and non-technical audiences.
  • High level of attention to detail, accuracy, and ability to manage work effectively.

What Makes You Stand Out

  • Experience designing, building, evaluating, or deploying agentic AI systems, AI assistants, workflow automation, or LLM-based applications.
  • Strong proficiency in causal inference, including experience with experimental design, quasi-experimental methods, treatment effect estimation, or causal modeling.
  • Experience with geospatial data science, including spatial analytics, geospatial feature engineering, remote sensing analysis, satellite imagery, or precision agriculture datasets.
  • Experience working with Databricks, Apache Spark, distributed computing, and large-scale data processing environments.
  • Experience building production-quality analytical workflows, reusable data products, or scalable data science pipelines.
  • Familiarity with cloud-based data platforms, model development environments, version control, and collaborative software development practices.
  • Experience working as part of a digital product team, including collaboration with product managers, engineers, designers, domain experts, and business stakeholders.
  • Ability to translate stakeholder needs into analytical questions, technical requirements, prototypes, and actionable insights.
  • Experience creating interactive dashboards, data applications, or visualization tools that support decision-making.
  • Knowledge of agricultural, geospatial, machine telemetry, IoT, or digital product data is a plus.

Education

Ideally you will have a degree or equivalent related work experience in the following:

  • Currently enrolled in a Master's or PhD program in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Agricultural Engineering, Geospatial Science, Remote Sensing, or a closely related technical field.
  • Strong candidates currently pursuing a Bachelor's degree may also be considered if they demonstrate exceptional technical ability, strong analytical skills, relevant project experience, and high potential for growth.
  • Coursework or research experience in data science, machine learning, causal inference, big data analytics, geospatial analytics, artificial intelligence, or software development is strongly preferred.

At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:

  • Flexible work arrangements
  • Highly competitive base pay
  • Savings & Retirement benefits (401K and Defined Benefit Pension)
  • Healthcare benefits with a generous company contribution in the Health Savings Account
  • Adoption assistance
  • Employee Assistance Programs
  • Tuition assistance
  • Fitness subsidies and on-site gyms at specific Deere locations
  • Charitable contribution match
  • Employee Purchase Plan & numerous discount programs for personal use
  • Vacation and Holiday Pay

$15 - $40 hourly based on published rates for business function and education level.

Follow this link to learn more about our Total Rewards Package

Must be 18 years of age or older to apply

The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.

The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.

ACA Section 1557 Nondiscrimination Notice

The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.

Nearest Major Market: Des Moines Job Segment: Cloud, GIS, Agricultural, Computer Science, PLM, Technology, Agriculture, Management


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