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Data Engineer Ml Jobs in Iowa (NOW HIRING)

Corteva

Sr Principal Software Architect

Johnston, IA · Remote

Required Skills 7+ years of technical leadership with data or platform engineering roles preferred Experience or deep understanding of designing or enabling federated data/ML environments where teams ...

Iowa State University

MLOps Engineer

Ames, IA · On-site

... Data Science, or a related technical field. * Two years of related experience in backend software development, AI/ML model deployment, MLOps, DevOps, cloud/platform engineering, or a closely related ...

Riverhead Resources

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

Computer Engineering * Strong technical skills in the following areas: * Proficiency in Python ... Exposure to AI/ML concepts (e.g., regression, classification, clustering, NLP, generative AI/LLMs)

Feed Energy

AI & Data Intern

Pleasant Hill, IA

$25/hr

Computer Engineering * Strong technical skills in the following areas: * Proficiency in Python ... Exposure to AI/ML concepts (e.g., regression, classification, clustering, NLP, generative AI/LLMs)

Feed Energy

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

Computer Engineering * Strong technical skills in the following areas: * Proficiency in Python ... Exposure to AI/ML concepts (e.g., regression, classification, clustering, NLP, generative AI/LLMs)

RFA Engineering

AI Test Automation Engineer

Urbandale, IA · On-site

$90K - $150K/yr

Analyze testing data and system behavior to identify trends, inefficiencies, and optimization ... Experience with AI/ML technologies, large language models, or agentic AI systems * Experience ...

RFA Engineering

AI Test Automation Engineer

Urbandale, IA · On-site

$90K - $150K/yr

Analyze testing data and system behavior to identify trends, inefficiencies, and optimization ... Experience with AI/ML technologies, large language models, or agentic AI systems * Experience ...

Atos

... programming languages (Java, C#, Python, or similar). • Understanding databases, data structures and SQL. • Familiarity with AI/ML concepts (e.g., supervised learning, NLP basics, APIs for AI ...

Atos

Strong knowledge of programming languages (Java, C#, Python, or similar). Understanding databases, data structures and SQL. Familiarity with AI/ML concepts (e.g., supervised learning, NLP basics ...

Judge Group, Inc.

Software Engineer

Des Moines, IA · On-site

$68 - $73/hr

Leverage knowledge of AI/ML, LLM, and Agentic AI technologies to identify operational efficiencies ... Solve ambiguous and complex technical problems with a data-driven approach. * Demonstrate ownership ...

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All JobsData Engineer Ml JobsData Engineer Ml Jobs in Iowa

Data Engineer Ml information

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer Ml jobs in Iowa?

For Data Engineer Ml jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Data Engineer Ml jobs in Iowa look for?

The top searched job categories for Data Engineer Ml jobs in Iowa are:

What cities in Iowa are hiring for Data Engineer Ml jobs?

Cities in Iowa with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Sr Principal Software Architect

Corteva

Johnston, IA • Remote

Full-time

Re-posted 6 days ago

Corteva Agriscience rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

49th of 540 rated manufacturers

Job description

Platform Staffing Group (an STA Group Company) is looking for a Sr. Principal Software Architect to assist our client in leading the development and evolution of our Data & ML Platform using Databricks as the foundational technology.

Remote - candidate can be considered remote if currently lives in the US and lives more than 50 miles from Johnston, IA location. Johnston, IA – candidate living within 50-mile radius of location required onsite T/W/TH each week.

DUTIES & RESPONSIBILITIES

This individual will lead the development and evolution of our client’s Data & ML Platform using Databricks as the foundational technology. This role focuses on building platform capabilities that enable federated domain teams across R&D to efficiently build, operate, and manage their own data and AI products. This includes working closely with data professionals to understand friction points and develop platform features, patterns, and enablement pathways that improve productivity, governance, and adoption. This work directly supports a federated data mesh strategy and is expected to grow over multiple years.

Develop and enhance Databricks-based platform capabilities to improve the productivity, governance, and autonomy of federated domain teams.

Collaborate with Data Platform and ML Platform leadership to align platform features to strategic roadmap and domain enablement needs.

Act as a technical and architectural advisor to teams onboarding to the platform, helping them apply best practices rather than building their solutions for them.

Identify friction points experienced by data engineers, data scientists, and analysts, and translate them into platform features, reusable patterns, and enablement artifacts.

Work across federated data domains to ensure platform consistency, governance alignment, and scalable adoption aligned with data mesh principles.

Provide technical leadership while still being capable of hands-on development when shaping reference implementations, IaC modules, or platform accelerators.

Advocate for secure-by-default design, applying modern security principles and working knowledge of cyber practices in a cloud-native platform context.

Contribute to FinOps-aware decision-making by communicating trade-offs between different Databricks implementation patterns (clusters vs. serverless vs. SQL warehouses, Unity Catalog configuration, etc.).

Required Skills

7+ years of technical leadership with data or platform engineering roles preferred

Experience or deep understanding of designing or enabling federated data/ML environments where teams self-serve platform capabilities.

Strong understanding of platform architecture and patterns that support data mesh or domain-oriented enablement.

Ability to think in terms of platform products including prioritizing reusable capabilities, reducing cognitive load for users, and avoiding central engineering bottlenecks.

Experience influencing architecture decisions and guiding teams through platform-aligned adoption pathways.

Knowledge of/or expertise with Databricks as a platform beyond notebook usage, including governance, workspace design, multi-domain enablement, and Unity Catalog patterns.

Nice to Have Skills

Hands-on familiarity with Terraform, AWS infrastructure concepts (IAM, S3, networking), and IaC workflows.

Platform mindset with experience building internal platform products with developer experience and scale in mind.

General knowledge of cybersecurity and secure-by-default design patterns in cloud platforms.

Awareness of FinOps principles and cost optimization patterns specific to Databricks (e.g., cluster policy trade-offs, compute model selection, multi-workspace vs multi-catalog trade-offs).

Experience working within a federated data governance or data mesh operating model.

PLATFORM STAFFING GROUP, an STA Group Company IS AN EQUAL OPPORTUNITY EMPLOYER Follow us on X @PLATSTAFFJOBS


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