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Data Analytics Engineer Jobs in Kansas (NOW HIRING)

Parexel

If you are passionate about real-world data, advanced analytics, and delivering meaningful insights ... Implement programming based on RWE protocols using a variety of RWD sources, including Optum and ...

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 ...

TRUITY CREDIT UNION

Data & AI Engineer

Lawrence, KS · On-site

$108K - $129K/yr

Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations. * Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and ...

Truity Credit Union

Data & AI Engineer

Kansas City, KS · On-site

$104K - $125K/yr

Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations. * Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and ...

Truity Credit Union

Data & AI Engineer

Lawrence, KS · On-site

$104K - $125K/yr

Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations. * Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and ...

StackAdapt

$98K - $118K/yr

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer-facing teams to make data accurate, timely, scalable, and easy ...

Accenture

Google Data Specialist

Overland Park, KS · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

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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 17, 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.
Senior RWE/RWA Programmer

Senior RWE/RWA Programmer

Parexel

On-site, Remote

Other

Posted 28 days ago

Parexel rating

9.1

Company rating: 9.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 59 rated research

Job description

When our values align, there's no limit to what we can achieve.
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Parexel is seeking a Senior Real-World Evidence (RWE) Analyst Programmer

Join a high-impact team as aremote Sr. Real-World Evidence Analyst Programmer,
supporting innovative work acrossCanada or the Continental United States.

If you are passionate about real-world data, advanced analytics,
and delivering meaningful insights, we encourage you to apply.

Who We Are Looking For

  • Effectively designs and codes R and SQL programs
    for assigned project(s), consistently meeting project objectives

  • Expert Coder: The ideal candidate spends most of their time hands-on coding versus project management or oversight responsibilities, has hands-on experience with raw RWE data including both claims data and Flatiron EHR and can write SQL code from scratch.

  • Clean andvalidateReal-World Data (RWD)

  • to ensure consistency and reliability

  • Implement programming based on RWE protocols
    using a variety of RWD sources, including Optum and Flatiron

  • Leverage advanced statistical and epidemiological methodologies
    to deliver robust and reliable analyses

  • Create, review, and approve programming plans
    at both study and project levels

  • Demonstrate advanced knowledge
    of programming, epidemiologicalmethodologyimplementation,
    and system development life cycle concepts

  • Maintain clear documentation
    of analytical programming and operational definitions
    to support reproducible and auditable RWE studies

  • Develop dashboards, reports, and presentations
    to effectively communicate findings

  • Collaborate with study team members
    to meet study timelines and recurring reporting deadlines

What You Will Do

  • Effectively designs and codes R and SQL programs for assigned project(s)
    consistently meetingobjectivesof the project.

  • Daily work % estimates: Coding (80%-90% of their daily work) + copying and pasting the numbers into the excel table shells (5%-20%)

  • Clean and validate RWD
    for consistency and reliability

  • Implement programming as specified from RWE protocol
    using a variety of RWD from multiple sources, including Optum and Flatiron

  • Leverage advanced statistical and epidemiological methodologies
    to deliver robust and reliable analyses

  • Create or review and approve programming plans
    at study and project level.

  • Displays highly advanced knowledgeregardingprogram, epidemiology methodologies implementation
    and system development life cycle concepts.

  • Maintain clear documentation of analytical programming and operational definitions
    to support reproducible and auditable RWE studies

  • Develop dashboards, reports, and presentations
    to communicate findings

  • Work collaboratively with members of study teams
    to meet study and recurring report timelines

Who You Are

  • MS in data science, epidemiology, statistics, public health, or related discipline

  • At least 2-3 years of experience in Real-World Data (RWD) analysis and Real-World Analytics (RWA)using healthcare claims, EMR, and/or registry databases within the biopharmaceutical industry or provider/payer organizations

  • Hands-on experience with Flatiron datarequired; experience with Optum may be considered

  • Fluency in SQL and R programming isrequired

  • Experience writing original codeand performing raw data analysis (not derived solely from clinical trials)

  • Includes running analyses and/or developing code for real-world analyses

  • Knowledge of SAS and/or Python is considered an advantage

  • Familiarity with US and global healthcare coding systems
    (e.g., ICD, CPT, HCPCS, LOINC, MedDRA)

  • And healthcare delivery systems (e.g., payers and reimbursement models)

  • Experience conducting routine and advanced statistical analyses for RWE generation

  • Including time-to-event, cross-sectional, and longitudinal data

  • Experience with big data analytical platforms

  • Deep understanding of observational study analysis

  • Ability to work independently and contribute to scrum development goals

  • In a fast-paced, flexible, team-oriented environment

  • Strong communicationand collaboration skills

  • Competent in written and oral English.

EEO Disclaimer
Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

What Parexel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About PAREXEL

Sourced by ZipRecruiter

Bring your Data Management expertise to Parexel's Strategic Partnerships. Although we work globally, each partnership we form is deeply personal. We are as dedicated to every aspect of our client's product development as they are - and work closely with client teams in true partnership to understand both challenges and opportunities. At Parexel we are focused on meeting customer and patient needs through collaborative partnership so that we get treatments into the hands of patients who need them most.

Industry

Pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Waltham, MA, US

Year founded

1983

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