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Knime Developer Jobs (NOW HIRING)

phData

OR

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 ...

Visa

Staff ML Scientist - New College Grad

Austin, TX · Hybrid

$157K - $170K/yr

... more programming languages such as Scala, Java, C++ or C#. * Experience with one or more common statistical tools such SAS, R, KNIME, Matlab. * Excellent understanding of algorithms and data ...

Visa

Staff ML Scientist - New College Grad

Austin, TX · Hybrid

$157K - $170K/yr

... more programming languages such as Scala, Java, C++ or C#. * Experience with one or more common statistical tools such SAS, R, KNIME, Matlab. * Excellent understanding of algorithms and data ...

Calpine

Engineer - Data Analyst

Pasadena, TX · On-site

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 ...

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 ...

Calpine

Engineer - Data Analyst

Pasadena, TX · On-site

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

Principal Consultant (AI Workforce - Glean)

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 ...

phData

Senior Consultant (AI Workforce - Glean)

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 ...

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Knime Developer information

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How much do knime developer jobs pay per hour?

As of Jun 16, 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.

Which 5 jobs will survive AI?

For a Knime Developer, roles involving complex data analysis, machine learning model development, and automation are likely to persist as AI tools augment rather than replace these tasks. Skills in data science, programming, and understanding AI workflows will remain valuable, especially in environments requiring customized solutions and critical thinking. Jobs that require human judgment, creativity, and domain expertise are also expected to endure despite AI advancements.

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.

Is KNIME in demand?

KNIME developers are in demand due to the growing need for data analytics and automation skills across industries. Proficiency in KNIME, along with data science and machine learning knowledge, can enhance job prospects as organizations seek to optimize data workflows and decision-making processes.

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

For a Knime Developer, earning $300,000 annually typically requires senior-level experience, specialized skills in data analytics and automation, and often working in industries like finance, technology, or consulting. High salaries are usually associated with leadership roles, extensive expertise, or working for large organizations with complex data needs.

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 jobs pay 200,000 a year?

In the USA, senior KNIME developers, data scientists, machine learning engineers, and analytics managers with extensive experience and advanced skills can earn salaries of $200,000 or more annually. These roles typically require strong expertise in data analysis, programming, and tools like KNIME, along with relevant certifications and a proven track record of project success.

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 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.
More about Knime Developer jobs
What cities are hiring for Knime Developer jobs? Cities with the most Knime Developer job openings:
What states have the most Knime Developer jobs? States with the most job openings for Knime Developer jobs include:
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Knime Developer jobs near you
Infographic showing various Knime Developer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.
Senior Consultant (AI Workforce - Glean)

Senior Consultant (AI Workforce - Glean)

phData

OR

Other

Posted 18 days ago

Job description

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

  • 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025) 
  • #1 Partner in Snowflake Advanced Certifications
  • 600+ Expert Cloud Certifications (Fivetran, dbt, Sigma Award Winners)
  • 7x Best Places to Work
  • Inc 5000 Fastest Growing US Companies (2020-2023)
Overview:

We are seeking a Senior Consultant with deep experience in platforms such as Microsoft Copilot Studio, Snowflake, and Glean to help clients realize tangible, business-ready value from AI agents. Our consulting services emphasize analytics and agentic activation, data visualization, data preparation, and data science. We specialize in Snowflake, Power BI, Tableau, Sigma, Alteryx, KNIME, and AWS.

Responsibilities
  • Design, build, and deploy AI agents using Microsoft Copilot Studio, aligned to real business processes and roles.
  • Translate manual or semi-structured business workflows into autonomous agents using low-code/no-code tools within the Microsoft ecosystem.
  • Implement agentic behaviors, including planning, tool use, contextual memory, and reflection, to deliver intelligent task execution.
  • Integrate Copilot solutions with enterprise systems such as Power BI, SharePoint, Outlook, and Teams.
  • Support internal teams in enablement, governance, lifecycle management, and safe experimentation with Copilot agents.
  • Develop and iterate on prompt templates, AI guardrails, fallback strategies, and continuous feedback loops to improve agent performance.
  • Partner with IT, data, and security teams to ensure responsible, governed, and scalable agent deployments.
  • Embed alongside client analytics and BI teams in a staffaugmentation model, pairing on real Glean use cases while modeling best practices in semantic modeling, governance, and agent design.
  • Lead recurring enablement touchpoints (developer workshops, guided build sessions, office hours) to help client teams independently design, deploy, and iterate on Glean agents.
  • Cocreate reusable enablement assets (playbooks, labs, prompt libraries, "howto" guides) that client champions can use to scale training across business units.
Qualifications
  • 3-6 years of experience in enterprise automation, digital transformation, or AI-enabled consulting.
  • Direct experience with Microsoft Copilot Studio or similar low-code AI platforms (e.g., Glean, AgentForce, Amazon Q Business, OpenAI Agent Builder).
  • 3-5 years of BI experience, including advanced knowledge of ETL, SQL, and data visualization best practices.
  • Solid understanding of semantic layers, identity/access management, and Microsoft 365 security/compliance boundaries.
  • Experience facilitating automation/AI discovery and prioritization sessions (process mapping, value sizing, ROI modeling) with business stakeholders.
  • Passion for enabling the business to develop their own business process solutions with technology
  • Familiarity with prompt engineering, iterative design cycles, and user testing for AI workflows.
  • Strong collaboration and communication skills across business and technical audiences.
  • Exposure to Power Platform, Azure OpenAI, n8n, or broader AI orchestration tools is a plus.

Preferred Experience:

  • Previous experience leading teams of consultants to ensure performance, utilization and project delivery
  • Experience operating in early-stage, ambiguous environments, where clients are experimenting with Copilot and agentic workflows across multiple functions.
  • Design and support change management and enablement programs (playbooks, training, office hours) to help business users adopt Copilot agents and AI workflows at scale.
  • Experience delivering tool enablement at scale (cohorts, trainthetrainer, or officehours programs) for modern BI or AI platforms such as Alteryx, Sigma, Power BI, or MS Copilot.
  • Prior consulting or staffaugmentation experience balancing "handson keyboard" delivery with coaching client developers and analysts to own and extend solutions over time.

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