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Knime Developer Jobs (NOW HIRING)

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

RapidMiner, Knime) a plus. Data Scientist Develop and communicate a deep understanding of client ... Engineering, and senior executives) to rapidly execute and iterate Noting anomaly detection and ...

TekWissen LLC

Buyer II

Bloomington, MN · On-site

$30 - $31/hr

Coordinates purchasing activities with manufacturing, facility, and engineering departments to ... Good data analytic and data science skills (Excel, Knime, Alteryx, Power BI, Python) are preferable.

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

RapidMiner, Knime) a plus. Data Scientist • Develop and communicate a deep understanding of ... Engineering, and senior executives) to rapidly execute and iterate • Noting anomaly detection and ...

phData

OR · On-site

We specialize in Snowflake, Power BI, Tableau, Sigma, Alteryx, KNIME, and AWS. Responsibilities ... Lead recurring enablement touchpoints (developer workshops, guided build sessions, office hours) to ...

TriOptus LLC

Program Manager-Expert

Jersey City, NJ · On-site

... data engineering teams to effectively execute their duties. * Collaborate with other project ... KNIME, Appian, etc. * Knowledge and experience of Agile and Waterfall project management ...

phData

Machine Learning Solutions Architect

$64.50 - $85/hr

... 2026 KNIME Customer Excellence Partner of the Year * Preferred Partner in the Anthropic Claude ... You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams ...

phData

Technical Delivery Manager

... 2026 KNIME Customer Excellence Partner of the Year * Preferred Partner in the Anthropic Claude ... Collaborate with cross-functional partners including architects, engineers, and site reliability ...

Ruri Software Technologies LLC

Big Data/ Hadoop Architect

$65.25 - $84/hr

Preference to Tableau, Pentaho, Pentaho, BIRT, JasperReport, SpagoBI, KNIME, ReportServer, Bitnami ... paired programming environment. • 7 yrs. in Software development as a developer. • 7 yrs ...

Calpine

Engineer - Data Analyst

Pasadena, TX

Bachelor's degree in Engineering, Data Science, Computer Science, Mathematics, Statistics, or a ... Alteryx, KNIME, etc along with experience in visualization platforms like Tableau, Power BI ...

phData

Territory Director - Chicago

... 2026 KNIME Customer Excellence Partner of the Year * Preferred Partner in the Anthropic Claude ... Exceed quarterly/annual sales targets in all practice areas (Data Engineering, Managed Services ...

phData

Senior Product Manager

$129K - $170K/yr

... 2026 KNIME Customer Excellence Partner of the Year * Preferred Partner in the Anthropic Claude ... engineers, analysts, and change leaders. * Turn business goals into clear requirements, user ...

Givaudan

Cheminformatics Scientist

Cincinnati, OH

$80K/yr

Advanced programming skills in Python or R, plus proficiency in an additional language, following ... Industry familiarity with SQL/databases, analytics tools (KNIME, Spotfire, Shiny), and NLP/LLMs in ...

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Knime Developer information

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How much do knime developer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for knime developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is a KNIME Developer?

A KNIME Developer is a professional skilled in using the KNIME Analytics Platform, an open-source software for data analytics, reporting, and integration. They design, build, and deploy data workflows to process, analyze, and visualize large datasets. KNIME Developers often work with data scientists, analysts, and business stakeholders to automate data tasks, create predictive models, and support data-driven decision-making. They may also integrate KNIME with other tools and databases to streamline data pipelines.

What jobs in the US pay 300,000 a year?

In the US, senior roles such as data scientists, machine learning engineers, and senior KNIME developers with extensive experience and specialized skills can earn $300,000 or more annually. These positions often require advanced certifications, expertise in data analytics tools, and leadership responsibilities within organizations.

What is the difference between Knime Developer vs Data Analyst?

AspectKnime DeveloperData Analyst
Required SkillsProficiency in KNIME, data integration, workflow automationData visualization, statistical analysis, Excel, SQL
CertificationsKNIME certifications, data management certificationsNone specific, often data analysis or business intelligence certifications
Work EnvironmentData science teams, analytics departments, project-basedBusiness units, reporting teams, analytics departments
Industry UsageData science, machine learning, automation projectsBusiness reporting, market research, operational analysis

While both roles work with data, a Knime Developer specializes in building data workflows and automation using KNIME software, focusing on data integration and machine learning. A Data Analyst primarily interprets data through visualization and statistical methods to support business decisions. The roles often overlap but differ in technical focus and tools used.

What are some common challenges Knime Developers face when integrating KNIME workflows with external data sources and systems?

Knime Developers often encounter challenges such as ensuring compatibility between KNIME and various databases or APIs, managing data security during transfers, and handling differences in data schema or formats. Additionally, troubleshooting connectivity issues and optimizing workflow performance when dealing with large or complex datasets can be demanding. Collaborating with IT and data engineering teams is usually essential to ensure seamless data integration and to implement best practices for data governance and workflow automation.

What kind of jobs use KNIME?

KNIME is used by data analysts, data scientists, and business intelligence professionals to build data workflows, perform data analysis, and automate data processing tasks. These roles often require knowledge of data manipulation, machine learning, and familiarity with the KNIME platform. Jobs may be in industries such as finance, healthcare, marketing, and technology, where data-driven decision-making is essential.

Is KNIME worth learning?

KNIME is a popular open-source data analytics platform used by data scientists and data engineers, including KNIME developers. Learning KNIME can enhance your ability to perform data integration, transformation, and analysis tasks, and it is often valued in roles requiring automation and workflow management. Acquiring skills in KNIME, along with related tools like Python or R, can improve job prospects in data-driven fields.

What are the key skills and qualifications needed to thrive as a KNIME Developer, and why are they important?

To thrive as a KNIME Developer, you need a strong background in data analytics, data engineering, and proficiency with ETL processes, typically supported by a degree in computer science or a related field. Familiarity with the KNIME Analytics Platform, workflow automation, and knowledge of scripting languages like Python or R are essential, and certifications in KNIME can be advantageous. Attention to detail, problem-solving abilities, and strong communication skills help you design efficient workflows and collaborate with stakeholders. These combined skills ensure effective data-driven solutions and seamless integration within diverse business environments.

Does KNIME require coding?

KNIME is a data analytics platform used by KNIME Developers that offers a visual workflow interface, allowing users to build data processes without extensive coding. However, knowledge of scripting languages like Python or R can enhance functionality and customization when needed.
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Knime Developer jobs near you
Data Scientist

Data Scientist

Noblesoft Solutions

Jacksonville, FL • On-site

Contractor

Posted 27 days ago

Job description

Company Description

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies.

Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products.

Our History

After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country.

Job Description

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology.

Qualifications

Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus.
Data Scientist
Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required
Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks
Implementing processes that improve and lead to greater data quality
Conducting statistical analyses to develop strategies
Documenting all processes and research
Building new algorithms and model training
Executing projects involving analytics
Identifying data patterns and trends
Analyzing data to develop predictive models
Creating, managing, and maintaining analytically rigorous data
Possessing a solid machine learning foundation
Proven record of successful statistical product delivery
Ability to execute health insurance use cases via statistical applications such as R or Python 
Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) 
Significant experience with SQL and working with large datasets required
Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate
Noting anomaly detection and running diagnostics
Performing graphical model analysis
Strong verbal and written communication skills

Additional Information

Candidates would Roll Perm at some point

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