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Data Analytics Engineer Jobs in Kansas (NOW HIRING)

Mariner

Analytics Engineer II

Overland Park, KS · On-site

$90K - $115K/yr

The Analytics Engineer II builds and delivers enterprise data products that support analytical and operational reporting across Mariner. This role translates defined business requirements into ...

Locatee AG

Model Tango's data on the modern warehouse Design and build curated, well-documented, tested data models on Redshift that turn a deep and complex real estate and facilities data model into analytics ...

Locatee Ag

Model Tango's data on the modern warehouse Design and build curated, well-documented, tested data models on Redshift that turn a deep and complex real estate and facilities data model into analytics ...

Stripe

$132K/yr

Be the expert on our data analytics buyers - understand how data analysts, analytics engineers, and BI practitioners evaluate and adopt tools, and translate those insights into product roadmap ...

Colgate

Sr. Specialist, Quality Data Analytics

Topeka, KS · On-site

$97 - $137/hr

Job Title: Sr. Specialist, Quality Data Analytics Travel Required?: Travel - up to 10% of time ... Data Engineering: Designs and aggregates complex manufacturing datasets from ERP and laboratory ...

Midwest Energy, Inc.

Rates and Data Analyst

Hays, KS

Bachelor's degree in analytics, economics, business, accounting, engineering, information systems ... Experience directly in data analytics or business intelligence preferred. * Beginning proficiency ...

Midwest Energy

Rates and Data Analyst

Hays, KS

Bachelors degree in analytics, economics, business, accounting, engineering, information systems ... Experience directly in data analytics or business intelligence preferred. * Beginning proficiency ...

Midwest Energy, Inc.

Rates and Data Analyst

Hays, KS · On-site

Bachelor's degree in analytics, economics, business, accounting, engineering, information systems ... Experience directly in data analytics or business intelligence preferred. * Beginning proficiency ...

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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 27, 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 does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure 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 develop insights and reports.

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.

Analytics Engineer II

Overland Park, KS • On-site

Mariner
See more jobs at Marinerexternal

$90K - $115K/yr

Full-time

Posted 14 days ago

Job description

The Analytics Engineer II builds and delivers enterprise data products that support analytical and operational reporting across Mariner. This role translates defined business requirements into scalable data models and datasets in Snowflake using SQL, dbt, and Python while contributing to data quality, governance, and AI-enabled analytics capabilities. The Analytics Engineer II partners with Data Engineering, Business Intelligence, business analysts, and other stakeholders throughout the analytics lifecycle. This opportunity offers hands-on involvement in modern data platforms, semantic-layer development, and the implementation and ongoing support of data products across the organization.
Responsibilities
  • Collaborate with business stakeholders to gather and clarify data and reporting requirements and translate them into effective data solutions.
  • Develop and maintain scalable data models and data products using dbt and Snowflake in alignment with established architecture and engineering standards.
  • Partner with Data Engineering, Business Intelligence, and business teams to design and implement data products across the analytics lifecycle.
  • Contribute to semantic-layer models, business metrics, and standardized definitions that support AI-enabled agents, workflows, and consistent analytics.
  • Apply Snowflake capabilities, including data definition language (DDL) operations, role-based access control (RBAC), SQL functions, and Snowflake Cortex, in the development and support of data products.
  • Support data quality and governance by applying data validation, security, and quality practices throughout data development and implementation.
  • Participate in code reviews, version control, testing, and continuous integration and continuous delivery (CI/CD) processes in accordance with team standards.
  • Provide clear project updates, technical documentation, and implementation status to technical and business stakeholders.
Requirements
  • 3+ years of professional experience in analytics engineering, data engineering, or business intelligence.
  • 3+ years of experience with SQL and analytical databases such as Snowflake, Databricks, SQL Server, or Azure.
  • Experience developing and maintaining data models, pipelines, and reporting datasets.
  • Experience working in Agile environments and collaborating with cross-functional teams.

Preferred qualifications include a bachelor's degree in computer science, engineering, data analytics, or a related technical field; experience in wealth management or financial services; experience with dbt for data modeling, testing, documentation, and deployment workflows; experience with Git and version control practices; understanding of extract, load, transform (ELT) and extract, transform, load (ETL) processes and tools; and exposure to semantic-layer concepts and tools.
Skills
  • Apply strong analytical, problem-solving, and data validation skills to develop reliable data solutions.
  • Communicate effectively with technical and business stakeholders, including providing clear documentation and project updates.
  • Collaborate across Data Engineering, Business Intelligence, and business teams to deliver solutions that meet defined needs.
  • Organize and coordinate work effectively across assigned projects while contributing within established engineering and delivery practices.

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