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Data Analytics Engineer Jobs in Kansas (NOW HIRING)

AAA USA Inc

Structural Analysis Engineer

Wichita, KS · On-site

The Structural Analysis Engineer is responsible for analyzing, designing, and validating the ... data * Demonstrated experience effectively communicating within a team environment * Working ...

CBRE

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

This job is part of the Data Science & Analytics job function. They are responsible for reviewing ... SQL and Python Some data engineering skills preferred including PySpark for Microsoft Fabric and ...

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Collaborate with engineers, analysts, architects, and business stakeholders to align data solutions ... with organizational goals. * Evaluate emerging technologies and recommend improvements to data ...

27Global

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

Collaborate with engineers, analysts, and business stakeholders to align data solutions with organizational needs. * Support cloud-based data strategies including data warehousing, pipelines, and ...

O2E Brands

Product Analytics Lead

Overland Park, KS · On-site

Partner with Product and Engineering to define instrumentation requirements, ensuring data is collected safely and accurately, and embedding analytics best practices into the development cycle ...

Reply

Manager, Data Engineering

Kansas City, KS · On-site

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

The Director will manage a small team of data analysts and engineers and will work closely with an external implementation partner during the initial build-out of the data lake and data warehouse.

Parexel

If you are passionate about real-world data, advanced analytics, and delivering meaningful insights ... Advanced SQL Programming experience within the Real-World Data (RWD) domain is required. * Hands-on ...

Ra

Marketing Analytics Manager

Kansas City, KS · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Kansas

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 Aug 6, 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.

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 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.

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
Infographic showing various Data Analytics Engineer job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.

Structural Analysis Engineer

AAA United States Inc

Wichita, KS

Other

Re-posted 7 days ago

Job description

Description

AAA United States, Inc. has partnered with a company in Wichita, Kansas that is one of the world's largest manufacturers of aerostructures for commercial airplanes, defense platforms, and business/regional jets. With expertise in aluminum and advanced composite manufacturing solutions, the company's core products include fuselages, integrated wings and wing components, pylons, and nacelles.

The Structural Analysis Engineer is responsible for analyzing, designing, and validating the structural integrity of aerospace components, systems, and structures.


Essential Job Functions:

  • Apply knowledge of structural analysis (e.g., materials technology, finite element modeling, static analysis, fatigue analysis, damage tolerance analysis, thermal analysis, vibration analysis, structural testing, etc.) to determine structural adequacy for customer requirements and regulatory compliance; and to collaborate on structural design, manufacturing, and post-delivery of products
  • Areas of expertise may include primary and secondary structural analysis
  • Candidates are expected to perform as individual contributors within a team environment.

Requirements

  • Requires a Bachelor's Degree in Aerospace Engineering, Civil Engineering, Mechanical Engineering, or other related engineering course of study from an ABET accredited program
  • Requires educational credentials meeting the Spirit classification standards for engineers and typically 0 to 1 year of full-time experience in a stress or structural analysis engineering classification / position
  • GPA of 3.0 or higher 
  • Familiarity with detailed FEA, CATIA V5 or similar tools, and classical structural analysis techniques using free body diagrams and internal loads model data
  • Demonstrated experience effectively communicating within a team environment
  • Working knowledge of aerospace industry practices and standards
  • Advanced thinking and problem-solving ability

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