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Python Data Science Jobs in Kansas City, MO (NOW HIRING)

Propio

Data Engineer II

Overland Park, KS · On-site

$107K - $129K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ... Strong programming skills in languages such as Python or Scala. * Experience with big data ...

MHC Kenworth

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Prepares data for various business use cases including data science, prescriptive and predictive ... Python/PySpark. * Ability to work in a team environment and independently as * Ability to work ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Prepares data for various business use cases including data science, prescriptive and predictive ... Python/PySpark. * Ability to work in a team environment and independently as * Ability to work ...

Chubb

Data Analyst

Overland Park, KS

Bachelor's degree in Information Systems, Statistics, Data Science, or related fields * Minimum of ... Demonstrated experience with SQL, Python, and/or R for data extraction, manipulation, analysis, and ...

Chubb

Data Analyst

Overland Park, KS · On-site

Bachelor's degree in Information Systems, Statistics, Data Science, or related fields * Minimum of ... Demonstrated experience with SQL, Python, and/or R for data extraction, manipulation, analysis, and ...

Velocity Staff

Senior Data Engineer

Overland Park, KS

$104K - $142K/yr

Bachelor's degree in computer science, data science or related technical field, or equivalent ... Mid/Senior level development utilizing Python: (Pandas/Numpy, Boto3, SimpleSalesforce) * Experience ...

Truity Credit Union

Data & AI Engineer

Kansas City, KS

$104K - $125K/yr

Design and implement data manipulation pipelines using scripting languages like Python and SQL for ... Bachelor's degree in Data Science, Computer Science, or related technical field. * 5+ years of ...

kgs

Data Analyst

Kansas City, MO

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools ... Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ...

kgs

Data Analyst

Kansas City, MO

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools ... Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ...

ConcertoCare

Lead, Data Product Analyst

Kansas City, MO · On-site

$140K - $155K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Health Informatics, Information ... Experience with Databricks, Python, or R for analytics strongly preferred. * Exceptional data ...

Deloitte

Databricks Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

... Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ... Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics ...

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How much do python data science jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for python data science in Kansas City, MO is $57.20, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $65.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a data scientist do with Python?

A data scientist uses Python to analyze and interpret large datasets, develop machine learning models, and create data visualizations. They utilize libraries like pandas, scikit-learn, and matplotlib to extract insights and support data-driven decision-making.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and programming. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to command higher salaries.
What are the most commonly searched types of Python Data Science jobs in Kansas City, MO? The most popular types of Python Data Science jobs in Kansas City, MO are:
What are popular job titles related to Python Data Science jobs in Kansas City, MO? For Python Data Science jobs in Kansas City, MO, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Kansas City, MO look for? The top searched job categories for Python Data Science jobs in Kansas City, MO are:
Python Data Science jobs near you
Infographic showing various Python Data Science job openings in Kansas City, MO as of June 2026, with employment types broken down into 3% As Needed, 52% Full Time, 40% Part Time, 3% Contract, and 2% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,985 per year, or $57.2 per hour.
Data Engineer II

Data Engineer II

Propio

Overland Park, KS • On-site

$107K - $129K/yr

Other

Posted 20 days ago

Propio rating

6.3

Company rating: 6.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

301st of 430 rated business services

Job description

Description


Propio Language Services is transforming communication by developing tools and technologies that make it easier and more efficient for clients to engage with the Limited English Proficiency Population to improve access to healthcare and essential services in social services, education, legal and many others.  


The Data Engineer II will play a key role in designing, developing, and maintaining our data infrastructure. This position requires a blend of technical skills, analytical thinking, and the ability to collaborate with cross-functional teams to support data-driven decision-making processes.  


Key Responsibilities:

  • Design, implement, and optimize data pipelines for efficient data processing and analysis.
  • Develop and maintain ETL (Extract, Transform, Load) processes to ensure data accuracy and availability.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure the scalability, reliability, and performance of data systems.
  • Implement and maintain data security and privacy measures.
  • Troubleshoot and resolve data-related issues and anomalies.
  • Continuously improve and document data engineering processes and best practices.
  • Act as a subject matter expert and strategic advisor on data-related initiatives, ensuring alignment with organizational objectives
  • Perform ad hoc data analytics and reporting to meet emergent business requirements.
  • Develop and optimize complex SQL queries and stored procedures for data extraction and modeling.
  • Build custom automated paginated reports using SSRS (SQL Server Reporting Services).

Requirements


Qualifications:

  • Bachelor's Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field; or equivalent work experience.
  • 3+ years of experience in a comparable data engineering role.
  • Proven experience with designing and building scalable data pipelines and ETL processes.
  • Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
  • Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
  • Strong programming skills in languages such as Python or Scala.
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Familiarity with data warehousing solutions (e.g., Databricks).
  • Knowledge of data modeling, data warehousing, and data lake concepts.


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