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Data Analytics Engineer Jobs in Kansas (NOW HIRING)

Emprise Bank

Data Engineer

Wichita, KS · On-site

$102K - $123K/yr

Collaborate with data analysts, data analytics engineers, and data scientists to understand their data needs and provide technical assistance * Stay up to date with emerging technologies and best ...

Associated Wholesale Grocers

Data Engineer

Kansas City, KS · On-site

$107K - $129K/yr

As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a ...

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 ...

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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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 Jul 16, 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
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% Internship, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.
Analytics Engineer III

Analytics Engineer III

Quality Technology Services, LLC

Overland Park, KS

$113K - $135K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

The Analytics Engineer III role is responsible for bridging the gap between, data miners, product managers, and other Data Science & Engineering teams, and mentoring junior members of the analytics engineering team in designing analytics solutions in Snowflake. You'll be providing expertise in data modeling and data warehousing concepts, and leveraging modern data stack technologies, including Snowflake and dbt, to drive actionable insights. Your experience in improving data quality will help the business gain trust in the data.

RESPONSIBILITIES, other duties may be assigned.

  • Monitoring, maintaining, and improving data integration logic running in the Snowflake Data Cloud.
  • Design, implement, and optimize large-scale data analytics solutions based on the Snowflake Data Warehouse, leveraging data to drive significant business impact.
  • Utilize dbt to create data pipelines, manage transformations, and orchestrate data workflows.
  • Providing expertise in data warehousing concepts, data modeling, and data lake architecture
  • Use SQL, Tableau, Python, or any combination of tools to develop rapid prototypes and educate stakeholders on analytics modeling.
  • Provide expert advice and education in the usage and interpretation of data to other teams across Data Science, Data Engineering, and functional Business Units.
  • Detecting data quality issues and their root causes.
  • Evolving the way data is organized and maintained.

BASIC QUALIFICATIONS

  • Bachelor's or Master's degree in Business Analytics, Computer Science, Mathematics, or related fields; or equivalent experience.
  • 5+ years experience using SQL
  • 2+ years of experience using dbt and Snowflake Data Cloud
  • 2+ years of experience working within a CICD framework.
  • Advanced understanding of data warehousing concepts and modern data stack tools, specifically dbt and Snowflake Data Cloud
  • Working knowledge of SCRUM and Kanban Agile methodologies


KNOWLEDGE, SKILLS AND ABILITIES

  • Communication Skills: Effective communication of technical findings to non-technical stakeholders is imperative.
  • Business Acumen: Ability to translate data insights into actionable business recommendations.
  • Problem-Solving Skills: Analytical mindset to tackle complex data challenges.
  • Agile Mindset: Adaptability to changing requirements and priorities.
  • Attention to Detail: Ensuring data accuracy and quality.
  • Continuous Learning: Staying updated with industry trends and emerging technologies.
  • Mentorship: Ability and willingness to mentor less experienced team-members

TOTAL REWARDS

  • This role is also eligible for a competitive benets package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; exible spending and HSA accounts; paid holidays; paid time off; paid volunteer days; employee assistance program; tuition assistance; parental leave; military leave assistance; QTS scholarship for dependents; wellness program, and other company benets.
  • This position is bonus eligible.

We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim.

The "Know Your Rights" Poster is included here:

Know Your Rights (English)

Know Your Rights (Spanish)

The pay transparency policy is available here:

Pay Transparency Nondiscrimination Poster-Formatted

QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.

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