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Remote Data Platform Engineer Jobs in Iowa (NOW HIRING)

DataAnnotation

Staff Data Scientist - AI Trainer

Nevada, IA · On-site +1

$40/hr

... platform.BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and ... Engineering, or similar); a master's or PhD is a plus.Relevant credentials are a plus (e.g., Kaggle ...

DataAnnotation

Staff Software Engineer

Nevada, IA · On-site +1

$60/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... through our platform.BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland ...

DataAnnotation

Python Engineer - AI Trainer

Nevada, IA · On-site +1

$60/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... through our platform.BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland ...

DataAnnotation

SDLC Engineer - AI Trainer

Nevada, IA · On-site +1

$60/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... through our platform. Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland ...

DataAnnotation

React Engineer - AI Trainer

Nevada, IA · On-site +1

$60/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... through our platform. Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland ...

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Remote Data Platform Engineer information

See Iowa salary details

$41.8K

$121.8K

$166.7K

How much do remote data platform engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data platform engineer in Iowa is $121,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the most commonly searched types of Data Platform Engineer jobs in Iowa? The most popular types of Data Platform Engineer jobs in Iowa are:
What are popular job titles related to Remote Data Platform Engineer jobs in Iowa? For Remote Data Platform Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Iowa look for? The top searched job categories for Remote Data Platform Engineer jobs in Iowa are:
What cities in Iowa are hiring for Remote Data Platform Engineer jobs? Cities in Iowa with the most Remote Data Platform Engineer job openings:
Remote Data Platform Engineer jobs near you
Clinical Data Scientist - AI Trainer

Clinical Data Scientist - AI Trainer

DataAnnotation

Nevada, IA • On-site, Remote

$60/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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