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Google Data Science Jobs in Kansas (NOW HIRING)

Propio Language Services

Data Engineer II

Overland Park, KS · On-site

$107K - $129K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ... Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services. * Proficiency ...

Propio

Data Engineer II

Overland Park, KS · On-site

$107K - $129K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ... Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services. * Proficiency ...

WellSky

Staff Data Engineer

Overland Park, KS · On-site

$2.5K/yr

The scope of this job includes collaborating with data scientists, analysts, solutions partners ... Experience with Google Cloud Platform (GCP) data services * Experience with multi-tenant SaaS ...

New

WellSky

Staff Data Engineer

Overland Park, KS

The scope of this job includes collaborating with data scientists, analysts, solutions partners ... Experience with Google Cloud Platform (GCP) data services * Experience with multi-tenant SaaS ...

Accenture

Google Cloud (AGBG) Sales Engineer

Overland Park, KS · On-site

$55 - $73.50/hr

Our AGBG professionals deliver a full stack of integrated cloud capabilities across data, edge ... Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent12 years work ...

CommunityAmerica Credit Union

Data Engineer

Lenexa, KS

$106K - $127K/yr

Bachelor's degree in Computer Science or related and five years progressive experience, which must ... Azure, Google or AWS. * Big data and Data integration technologies including Spark, Kafka ...

UNIFY Financial Credit Union

Data Engineer

Lenexa, KS · On-site

$107K - $129K/yr

Requirements Requirements: Bachelor's degree in Computer Science or related and five years ... Azure, Google or AWS. * Big data and Data integration technologies including Spark, Kafka ...

CommunityAmerica Credit Union

Data Engineer

Lenexa, KS · On-site

$106K - $127K/yr

Bachelor's degree in Computer Science or related and five years progressive experience, which must ... Azure, Google or AWS. * Big data and Data integration technologies including Spark, Kafka ...

CommunityAmerica Credit Union

Data Engineer

Lenexa, KS

$106K - $127K/yr

Requirements: * Bachelor's degree in Computer Science or related and five years progressive ... Azure, Google or AWS. * Big data and Data integration technologies including Spark, Kafka ...

SynergisticIT

Junior AngularJS Developer

Overland Park, KS · On-site

$63K - $82K/yr

... apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. We have an ... Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent Computer ...

TENEX.AI

Senior Cybersecurity Analyst

Overland Park, KS · On-site

$98K - $127K/yr

... , and Data Science teams to integrate Google Chronicle's capabilities into the SOC, enhancing threat detection and incident resolution. • Optimize Google Chronicle for log management, threat ...

Deloitte

GCP Manager

Wichita, KS · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... Google Cloud Platform cloud services and infrastructure architecture * 8+ years of experience in ...

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See Kansas salary details

$21.6K

$102.4K

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How much do google data science jobs pay per year?

As of Jun 24, 2026, the average yearly pay for google data science in Kansas is $102,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,338.00 and $128,470.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Data scientists, including those working at Google, can earn $300,000 or more annually, especially with senior roles, extensive experience, advanced skills in machine learning and big data tools, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which contribute to total earnings at this level.

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

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis tools being highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success in data science depends on skills, experience, and continuous learning of tools like Python, R, and SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities with relevant certifications and a strong portfolio.

What is a Google Data Science job?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google Data Science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What is the average salary for a Data Scientist at Google?

The average salary for a Data Scientist at Google is approximately $120,000 to $150,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and data analysis can earn higher compensation, often including bonuses and stock options.
What are the most commonly searched types of Google Data Science jobs in Kansas? The most popular types of Google Data Science jobs in Kansas are:
What are popular job titles related to Google Data Science jobs in Kansas? For Google Data Science jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Google Data Science jobs in Kansas look for? The top searched job categories for Google Data Science jobs in Kansas are:
What cities in Kansas are hiring for Google Data Science jobs? Cities in Kansas with the most Google Data Science job openings:
Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Kansas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $102,364 per year, or $49.2 per hour.
Data Engineer II

Data Engineer II

Propio Language Services

Overland Park, KS • On-site

$107K - $129K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Type
Full-time
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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