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Data Analytics Engineer Jobs in Kansas (NOW HIRING)

DataAnnotation

Analytics Engineer - AI Trainer

Topeka, KS · On-site +1

$40/hr

AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

Textron

Data Analyst-TAPD eCommerce

Wichita, KS

Bachelor's degree required in MIS, Computer Science, Data Analytics, Business Administration, Engineering, Mathematics, Economics, Statistics, or related technical field/coursework Master's degree ...

Propio

Data Engineer II

Overland Park, KS · On-site

$107.80K - $129.40K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data ... This position requires a blend of technical skills, analytical thinking, and the ability to ...

Propio Language Services

Data Engineer II

Overland Park, KS · On-site

$107.80K - $129.40K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data ... This position requires a blend of technical skills, analytical thinking, and the ability to ...

Propio

Data Engineer II

Overland Park, KS · On-site

$107.80K - $129.40K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data ... This position requires a blend of technical skills, analytical thinking, and the ability to ...

Huyett

Senior Data Analyst

Minneapolis, KS

$72K - $96K/yr

Through time this role will continue to connect and network data analytics to the enterprise ... Experience programming and aggregating data in Microsoft PowerBI utilizing DAX programming language ...

Inficare Technologies

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Data Engineer Location: Leawood, KS (Hybrid) Job Type: Contract - We are seeking a skilled Data ... Collaborate with data analysts, data scientists, and business stakeholders to understand data ...

Newell Brands

Bachelor's degree in engineering, Supply Chain, Business, Data Analytics, or related field preferred (or equivalent experience). * Experience leading or supporting productivity and continuous ...

The Atlas Group

IT Analyst Developer

Wichita, KS · On-site

Design system integrations between factory systems, ERP platforms, and data analytics tools. Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL ...

The Atlas Group

IT Analyst Developer

Wichita, KS

Design system integrations between factory systems, ERP platforms, and data analytics tools. Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL ...

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Data Analytics Engineer information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do data analytics engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for data analytics engineer in Kansas is $115,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

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

Analytics Engineer - AI Trainer

DataAnnotation

Topeka, KS • On-site, Remote

$40/hr

Full-time

This job post has expired today. 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, starting at $40+ USD per 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). Note: 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. #datascience #J-18808-Ljbffr

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