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Senior Data Analytics Engineer Jobs in Kansas (NOW HIRING)

Velocity Staff

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

... a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize ... This role requires significant understanding of data mining and analytical techniques. An ideal ...

NinjaOne

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join the Analytics Platform and Data Science team to help enable product analytics and data science across NinjaOne ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Garmin Ltd.

Senior Data Engineer

Olathe, KS · On-site

$100 - $130/hr

Overview We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the ... analysis to initiatives * Researches new technologies and proposes cost effective solutions and ...

New

Empower

Sr Engineer Data

Overland Park, KS

$104K - $142K/yr

The Senior Data Engineer will design, build, and maintain scalable data infrastructure and data and ... Collaborate with cross-functional value stream teams, analysts, business stakeholders, architects ...

New

Amgen

Sr. Data Scientist - Process Modeling

Wichita, KS · On-site

... and analytics to support engineering teams across our network, ensuring state-of-the-art data ... As a Sr. Data Scientist, you will evaluate and improve Amgen's digital assets, collaborating as ...

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 ... senior leadership to project teams. * High comfort toggling between strategy and execution - big ...

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Showing results 21-40

All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Kansas

Senior Data Analytics Engineer information

See Kansas salary details

$72.2K

$112.7K

$156.1K

How much do senior data analytics engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior data analytics engineer in Kansas is $112,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $128,400.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

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 Senior Data Analytics Engineer jobs in Kansas?

For Senior Data Analytics Engineer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Kansas look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Kansas are:

What cities in Kansas are hiring for Senior Data Analytics Engineer jobs?

Cities in Kansas with the most Senior Data Analytics Engineer job openings:

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,666 per year, or $54.2 per hour.

Senior Data Scientist, Healthcare Data & Analytics (Mission)

Thyme Care, Inc.

Mission, KS • On-site

$166K - $185K/yr

Full-time

Re-posted 2 days ago

Thyme Care rating

8.3

Company rating: 8.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Thyme Care, Inc. is seeking a Senior Data Scientist in Mission, Kansas. In this role, you will enhance analytic capabilities supporting cancer care solutions by modeling data, creating visualizations, and delivering insights.

You will define improvements to data pipelines, own scalability efforts, and work closely with various teams to support efficient care delivery. Candidates should possess deep expertise in healthcare data and data modeling.

The base salary for this position ranges from $166,500 to $185,000 with additional equity and benefits.

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