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

Senior Data Engineer | Emerging Products

Kansas, KS ยท On-site +1

$93K - $127K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging Products team and help build the foundation of our modern data platform. You'll play a critical role

Solvd US Our organization is redefining claims management across the auto and property space through a blend of AI innovation, proprietary technology, and expert-led services that deliver measurable

Data Engineer (remote)

Kansas City, MO ยท Remote

$75K - $90K/yr

WHO WE ARE AND WHAT WE DO The Data Engineering & Business Intelligence (BI) organization serves as a strategic enterprise function responsible for building, managing, and governing Hallmark's data

New

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, infrastructure, and data visualization to support our data-driven decision-making processes.

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, infrastructure, and data visualization to support our data-driven decision-making processes.

Manager, Decision Science

Kansas City, MO ยท On-site +1

$100K - $125K/yr

MissionOne Media is a brand within BarkleyOKRP that combines full-funnel media planning and buying services, CRM, data, analytics, retail media, SEO, and digital experiences. * $1 Billion+ in Annual

Showing results 21-40

Remote Data Science R information

See Kansas City, MO salary details

$36.6K

$119.8K

$191.8K

How much do remote data science r jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote data science r in Kansas City, MO is $119,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $132,700.00 per year, depending on experience, location, and employer.

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data science R, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

Senior Data Engineer | Emerging Products

Kansas, KS โ€ข On-site, Remote

NinjaOne
Software Developmentย โ€ขย 201 - 500 employees

$93K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Key responsibilities

  • Design and implement Medallion-layer data architectures (Bronze, Silver, Gold) with structured ingestion pipelines and curated data layers.

  • Build and maintain scalable streaming and batch data pipelines using Kafka, Spark, and Airflow.

  • Monitor pipeline health, troubleshoot data quality and performance issues, and improve data platform reliability and efficiency.


Job description

About the Role

At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging Products team and help build the foundation of our modern data platform. You'll play a critical role in designing and scaling lakehouse architectures, building robust streaming and batch pipelines, and ensuring data flows reliably to the analysts and data scientists who depend on it. This is an exciting opportunity to work on greenfield infrastructure using a cutting-edge stack — Kafka, Spark, Iceberg, and Databricks — collaborate with cross-functional teams, and help shape how we harness data to power our next generation of products.

Location — We are flexible on remote working from home, if you are located in the USA and reside in one of the following states: CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.

*Onsite interviews maybe required for this role

We hire the best data engineers, but experience in our stack can't hurt: our data platform is built on Kafka, Spark, Airflow, Iceberg, and Databricks; supporting large-scale distributed workloads across hybrid streaming and batch ecosystems. Knowing lakehouse architecture patterns, distributed query engines, and scalable pipeline design will set you up for success.

What You'll Be Doing

  • Lakehouse Architecture: Design and implement Medallion-layer data architectures (Bronze, Silver, Gold), building structured ingestion pipelines and curated data layers that serve downstream analytics and data science workloads.
  • Pipeline Development: Build and maintain scalable streaming and batch data pipelines using Kafka, Spark, and Airflow, supporting reliable and low-latency data movement across the platform.
  • Table Format Management: Own and manage open table formats including Iceberg, Delta, and Hudi — selecting the right format for the workload and maintaining performance and reliability at scale.
  • Query Engine Optimization: Work with Trino/Starburst and Databricks-based environments to optimize large-scale analytics queries and support platform consumers.
  • Platform Reliability: Monitor pipeline health, troubleshoot data quality and performance issues, and continuously improve the reliability and efficiency of the data platform.
  • Collaboration: Partner closely with data scientists, analysts, and product teams to understand data requirements and deliver platform solutions that enable data-driven decision-making.
  • Other duties as needed.

About You

  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred.
  • 10+ years of experience in data engineering with a strong focus on data platform and distributed systems.
  • Hands-on experience building and managing lakehouse architectures, including Medallion (Bronze/Silver/Gold) layering patterns.
  • Deep expertise in Apache Kafka, Apache Spark, and Apache Airflow for both streaming and batch pipeline development.
  • Proficiency in open table formats — Iceberg, Delta Lake, or Hudi — with the ability to evaluate trade-offs and select the right format for the workload.
  • Experience with Databricks for large-scale data processing and analytics workloads.
  • Strong proficiency in Python and SQL.
  • Experience that will make you a standout candidate:
    • Hands-on experience with Trino or Starburst for distributed query execution.
    • Familiarity with hybrid streaming/batch architectures and event-driven data systems.
    • Experience designing Gold-layer datasets optimized for business intelligence and self-serve analytics.

About Us

NinjaOne unifies IT to simplify work for nearly 40,000 customers in 140+ countries. The NinjaOne Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience at work. NinjaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years.

What You'll Love

  • We are a collaborative, kind, and curious community.
  • We honor your flexibility needs with full-time work that is hybrid remote.
  • We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance.
  • We help you prepare for your financial future with our 401(k) plan.
  • We prioritize your work-life balance with our unlimited PTO.
  • We reward your work with opportunity for growth and advancement.

Additional Information

This position is NOT eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, candidates must be U.S. citizens or lawful permanent residents.

*Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate.

Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO. For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position is $110,000 to $200,000 per year.

For roles based in New York, the base salary hiring range for this position is $110,000 to $200,000 per year.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.