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Senior Data Analytics Engineer Jobs in Kansas (NOW HIRING)

Senior Data Analyst

Overland Park, KS ยท On-site

$90 - $130/hr

... Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY's Data Strategy team ...

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY ...

Senior Data Analyst

Overland Park, KS ยท On-site

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY ...

Senior Data Analyst

Overland Park, KS ยท On-site +1

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY ...

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY ...

Analytics Engineer II

Overland Park, KS ยท 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 ...

Key Responsibilities The Senior Data Scientist applies strong expertise in machine learning, data ... tools with data engineers, business leads, analysts, and developers. * Creates repeatable ...

$125K - $165K/yr

We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... Support Product and Data Analytics teams with curated datasets and high-performance query patterns.

$125K - $165K/yr

We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... Support Product and Data Analytics teams with curated datasets and high-performance query patterns.

Senior Data Architect

Topeka, KS ยท On-site +1

$63.25 - $84.75/hr

... analytics, and operational intelligence. The Senior Data Architect works independently, defines ... Minimum 5 years of experience in data architecture or data engineering, with significant ...

Senior Data Architect

Topeka, KS ยท On-site

$120 - $160/hr

... analytics, and operational intelligence. The Senior Data Architect works independently, defines ... Minimum 5 years of experience in data architecture or data engineering, with significant ...

Senior Data Architect

Topeka, KS ยท On-site

$63.25 - $84.75/hr

... analytics, and operational intelligence. The Senior Data Architect works independently, defines ... Minimum 5 years of experience in data architecture or data engineering, with significant ...

Senior Data Engineer

Toronto, KS ยท On-site

$175 - $230/hr

As a Senior Data Engineer , you will own Nimble's data platform -- the layer that every other team ... The work scales beyond you: what you build once accelerates product, analytics, ops, and data ...

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Showing results 1-20

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:

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.

$113K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

LOCATION: OVERLAND PARK, KS or OMAHA, NE

COMPANY OVERVIEW

Heritage Vet Partners (HVP) is the nation's leading veterinary partnership specializing in mixed/large animal practices.ย  We believe there is great value in the legacy, customer relationships, brand, culture, and team that veterinarians have built. Our goal is to provide services and support around the foundation veterinarians have developed. Most importantly, we believe that together we can best meet the changing needs of the customers and industries that we serve. We are very excited about the future of mixed and large animal practice and want our partnering practices and veterinarians to enjoy the success of Heritage Vet Partners.ย  HVP currently has offices in Omaha, NE, Overland Park, KS and West Point, NE, as well as clinics/locations in 14 states!ย  Learn more on our website!ย ย 

ABOUT THE ROLE

Our data warehouse sits at the center of how the business runs: it is used by stakeholders ranging from executives to finance to operations to clinic level providers and staff. We have data architecture/engineering to keep the pipelines flowing and report builders turning models into insight. What we need now is the person who owns the layer in between.

As our Analytics Engineer, you will own the SQL side of the house: the curated schema of reporting views, business logic, and semantic model foundations that transform raw warehouse tables into clean, consistent, trustworthy data products. When a metric shows up on an executive dashboard or inside one of our applications, your work is the reason everyone trusts the number.

This is a hands-on builder role for someone who thinks in data models, writes SQL fluently and defensively, and takes pride in being the person who makes messy source data make sense. You'll also lean on AI tools as part of how you build using coding assistants to move faster on SQL and documentation without ever outsourcing your judgment about what's correct. You will be the connective tissue between the engineers who land the data and the analysts who present it, and you will have real ownership of how that middle layer is designed.

WHAT YOU'LL OWN

  • The reporting schema: Design, build, and maintain the reporting view layer of our SQL Server / Azure SQL data warehouse: the governed, documented views that serve as the single contract between raw data and everything downstream.
  • Business logic in SQL: Translate business definitions into durable SQL logic so metrics are defined once, in one place, and reused everywhere.
  • Semantic model foundations: Own the structure of our Analysis Services / Power BI semantic models: tables, relationships, and core measures, so report builders can work from a clean, performant model rather than reinventing logic per report.
  • Data quality and reconciliation: Build validation checks and reconciliation queries that catch problems before stakeholders do. Investigate discrepancies, trace them to root cause, and fix them at the right layer.
  • Performance of the reporting layer: Write efficient T-SQL, tune the queries and views that power reporting workloads, and know when a view should become an indexed view, a materialized table, or a redesign.
  • Documentation and lineage: Maintain clear documentation of the reporting schema, metric definitions, and data lineage so the warehouse is understandable, not tribal knowledge.
  • AI-assisted development: Use AI coding assistants (e.g., GitHub Copilot, ChatGPT, Claude) to accelerate T-SQL development, documentation, and code review while retaining full ownership and accountability for the correctness of what goes live into production.
  • Cross-functional partnership: Partner with data engineering on upstream schema changes, with BI developers on model needs, and with business stakeholders to turn ambiguous asks into concrete, correct data definitions.

WHAT YOU BRING

  • 3+ years working hands-on with SQL Server or Azure SQL in an analytics, data warehousing, or reporting context
  • Expert-level T-SQL: complex joins, window functions, CTEs, and the judgment to know when a query is correct versus merely returning rows
  • Real experience with dimensional modeling and reporting-layer design (star schemas, conformed dimensions, slowly changing logic), and opinions about when to break the rules
  • Working knowledge of the Microsoft BI stack: Analysis Services (tabular), Power BI semantic models, and enough DAX to design models that measure-writers can build on
  • Comfort using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to draft, review, and debug complex SQL with the judgment to validate AI-generated logic before it goes into production, rather than accepting output at face value
  • A track record of turning vague business questions into precise data definitions, and of defending data quality when it would be easier to ship the number
  • Strong written communication: your documentation, view comments, and metric definitions will be read by engineers and executives alike

NICE TO HAVE

  • Experience in healthcare, clinical, or other regulated data environments
  • Exposure to version-controlled model development (TMDL, Tabular Editor, Git-based workflows)
  • Power Query / M experience, or experience supporting Excel-based analytical consumers of the warehouse
  • Familiarity with modern analytics engineering tooling and practices (dbt or similar), even if our stack is SQL-native
  • Experience evaluating or adopting AI-assisted BI features (e.g., Power BI Copilot, natural language query tools) in a reporting environment

WHY THIS ROLE

You will not be one of fifty analytics engineers maintaining someone else's decisions. The reporting layer is yours to design, improve, and be known for. Your work will be visible in every board deck, every operational dashboard, and every application screen that shows a number, and the people who depend on it will know exactly who made it trustworthy.

BENEFITS

HVP offers a full benefits package, including various health insurance plan options, vision, dental, and life insurance, long and short term disability, critical illness and accident insurance, and GAP insurance.ย  We also offer Flexible Spending Accounts as well as Health Savings Accounts.ย  A generous paid time off policy allows our employees the flexibility they need for work/life balance.ย  HVP invests in your future by offering a company sponsored 401k plan with employer match, along with access to a financial planner!ย ย 

Along with the above, other perks include the option for career advancement, professional development, and continuing education.ย  This is a primarily in-office position, but with the flexibility for remote work if needed!ย 

STATEMENTย 

All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, citizenship or immigration status, or any other protected classification, in accordance with applicable federal, state, and local laws. By completing this application, you are seeking to join a team of hardworking professionals dedicated to consistently delivering outstanding service to our customers and contributing to the financial success of the organization, its clients, and its employees. Equal access to programs, services, and employment is available to all qualified persons. Those applicants requiring an accommodation to complete the application and/or interview process should contact a management representative.ย