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Knime Data Jobs in Wisconsin (NOW HIRING)

Sr. Systems Engineer - AI Platforms

Madison, WI · On-site

$105K - $144K/yr

... analytics or data science platforms such as Alteryx Server and KNIME Server or Business Hub, ownership of cloud infrastructure, and enterprise SSO and directory integrations. * Demonstrated ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger ...

Knime Data information

What is a knime data professional?

KNIME Data professionals are specialists who use the KNIME Analytics Platform, an open-source data analytics, reporting, and integration tool. They design, build, and automate data workflows to process, analyze, and visualize data from various sources. Their responsibilities often include data preparation, data mining, machine learning, and creating interactive dashboards to support business decision-making. KNIME experts are typically skilled in data science concepts and comfortable working with databases, scripting, and advanced analytics techniques.

What are the key skills and qualifications needed to thrive as a knime data analyst?

To excel as a KNIME Data Analyst, you need strong analytical skills, a solid understanding of data science concepts, and experience with data manipulation and visualization, typically supported by a degree in computer science, statistics, or a related field. Proficiency with the KNIME Analytics Platform, knowledge of data integration tools, and familiarity with languages like Python or R are highly valued, along with relevant KNIME certifications. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data insights and collaborate with stakeholders. These competencies are crucial for delivering actionable analytics, ensuring data accuracy, and maximizing the value of data-driven decision making.

What are some typical projects or tasks a knime data analyst might work on, and how do they collaborate with other teams?

As a KNIME Data Analyst, you will typically work on projects involving data preparation, transformation, and analysis to support business decision-making. Common tasks include building data workflows, automating reports, and developing predictive models using KNIME's visual interface. Collaboration is key—KNIME Data Analysts often work closely with data engineers to access and cleanse data, and with business stakeholders to tailor analyses to specific needs. You'll also regularly present findings to both technical and non-technical audiences, ensuring that insights are actionable and understood.

What is the difference between Knime Data vs Data Analyst?

AspectKnime DataData Analyst
Required CredentialsKnowledge of data analytics tools, certifications in data science or analyticsBachelor's degree in statistics, data science, or related field; often certifications in data analysis
Work EnvironmentData analytics platforms, data processing environments, often collaborative teamsOffice settings, reporting environments, business meetings
Industry UsageUsed within data science, analytics, and machine learning projectsApplied across industries for interpreting data, creating reports, and supporting decision-making

Knime Data refers to data processed or managed within the Knime analytics platform, focusing on data workflows and automation. Data Analysts work with data to interpret, analyze, and present insights, often using various tools including Knime. While Knime Data is about the data itself within a platform, Data Analysts utilize such data to inform business decisions. Both roles overlap in data handling but differ in scope and responsibilities.

What are popular job titles related to Knime Data jobs in Wisconsin?

For Knime Data jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Knime Data job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr. Systems Engineer - AI Platforms

Bakertilly

Madison, WI • On-site

$105K - $144K/yr

Full-time

Posted 5 days ago


Baker Tilly rating

8.8

Company rating: 8.8 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

6th of 23 rated bookkeepers and accountants


Job description

Overview

Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world's leading financial centers - New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.

Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visitbakertilly.comor join the conversation onLinkedIn,FacebookandInstagram.

Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring.

Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.

Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system.

Job Description:
The Senior Systems Engineer serves as the technical architecture authority for the platforms team, owning integration design, security standards, platform governance, and server administration across the Alteryx, KNIME, and cloud infrastructure estate. This hands-on senior engineering role defines platform standards and reference architectures, engineers and administers on-premises and cloud platform infrastructure, and builds production automation in Python and PowerShell. The role also owns developer experience and onboarding for LLM tooling, including the OpenAI API and Claude API platforms, provides Tier 2 technical support during U.S. hours for escalated configuration, identity, and integration issues, and serves as the dedicated technical counterpart to the identity, security, networking, and infrastructure teams and to peer engineering teams on shared technical concerns. The role is expected to flex into adjacent areas of the department as priorities evolve, learn new platforms and technologies quickly, and cross-skill and mentor other associates.Responsibilities
  • (25%) Technical Architecture Authority and Platform Standards: Serve as the technical architecture authority for the platforms team, owning reference architectures, design patterns, environment topology, and platform standards across Alteryx, KNIME, cloud infrastructure, and AI platform services. Review and approve technical designs, integration proposals, and significant configuration changes; evaluate new tools and vendor releases for technical fit, security posture, scalability, and supportability; and maintain architecture decision records. Own platform governance, including environment strategy, naming and tagging standards, technical acceptance criteria, change control, and upgrade, capacity, resiliency, and technical debt planning.

    (20%) Alteryx, KNIME, and Cloud Infrastructure Engineering and Server Administration: Own hands-on administration and engineering of Alteryx Server and KNIME Server or Business Hub environments, including installation, node and executor configuration, scheduling, workflow deployment pipelines, repository and persistence management, licensing, performance tuning, patching, version upgrades, and platform migrations. Administer the supporting Windows and Linux server estate and cloud infrastructure, covering compute, storage, networking, backup and disaster recovery, monitoring and alerting, certificate management, and capacity and cost optimization.

    (15%) Integration Design, Identity, and Security Engineering: Design and implement platform integrations, including data source connectivity and driver management, API and service-to-service integrations, service account and secrets management, and orchestration across analytics, data, and AI platforms. Own SSO and access architecture, including SAML and OIDC federation, SCIM provisioning, security group architecture and nesting standards, and role-based access control. Define and maintain platform security standards, including hardening baselines, TLS and certificate lifecycle, least-privilege models, vulnerability remediation, and audit logging, in partnership with the security, compliance, and identity teams.

    (15%) Automation, Scripting, and Internal Tooling: Design, write, and maintain production-grade automation in Python and PowerShell to eliminate manual platform operations, including provisioning and deprovisioning, bulk configuration changes, deployment pipelines, configuration drift detection, health and reconciliation checks, credential rotation, and operational reporting. Apply infrastructure-as-code and CI/CD practices; manage code in Git with peer review, testing, secrets management, logging, and error handling; and use AI-assisted development tools to accelerate delivery while applying full engineering rigor to everything shipped.

    (15%) Developer Experience and LLM Tooling Onboarding: Own developer experience and onboarding for LLM tooling, including the OpenAI API and Claude API platforms and approved agentic coding tools. Provision and manage organization and project structure, API keys and scoped credentials, rate limit and quota configuration, spend controls, and model access. Publish golden-path documentation, reference implementations, starter templates, SDK and retry patterns, and environment setup guidance to reduce the time from request to first successful integration, and advise engineering teams on latency, token consumption, and cost implications of technical design choices. Participate in and provide technical leadership in the internal Baker Tilly agentic coding champion network.

    (10%) Escalated Support, Mentorship, and Cross-Team Engineering Partnership: Provide Tier 2 technical support during U.S. hours as the escalation point for issues that exceed Tier 1 and offshore operations capability, driving complex incidents to root cause through log analysis, API request tracing, network and certificate inspection, and controlled reproduction. Manage vendor technical escalations with Alteryx, KNIME, Microsoft, OpenAI, and Anthropic, and participate in incident, problem, and change management. Interface with peer engineering teams on shared technical concerns, represent platform requirements in architecture and security reviews, and maintain runbooks, troubleshooting guides, network and integration diagrams, and as-built documentation. Cross-skill and mentor associates through pairing, knowledge transfer sessions, and code and design review, and provide hands-on help to teammates, customers, and end users regardless of where an issue originates.

    Flex into adjacent technologies and areas of the department as priorities evolve, take on unfamiliar technical challenges, and perform other duties and contribute to related initiatives as assigned.


Qualifications
  • Bachelor's degree in computer science, computer engineering, information systems, or a related technical field required

  • Certifications such as Alteryx Server administration, KNIME Server or Business Hub administration, Microsoft AZ-104 or AZ-305, AWS Solutions Architect, SC-300 (Identity and Access Administrator), or CompTIA Security+ are preferred.

  • 3 years of experience required in systems, platform, or infrastructure engineering, including direct server administration of enterprise analytics or data science platforms such as Alteryx Server and KNIME Server or Business Hub, ownership of cloud infrastructure, and enterprise SSO and directory integrations.

  • Demonstrated experience acting as a technical design authority for a platform estate, and a track record of replacing manual operational work with automation, are required.

  • Experience supporting enterprise AI or LLM platforms and APIs is strongly preferred.

  • Working knowledge of Alteryx Server (Gallery, Designer, scheduler, worker nodes, and persistence layer) and KNIME Server or Business Hub (executors, workflow deployment, and workspace management), or directly comparable enterprise analytics platforms.

  • Strong knowledge of Windows Server and Linux administration; cloud infrastructure on Microsoft Azure or AWS, covering compute, storage, networking, IAM, and infrastructure-as-code; identity and access engineering including SAML 2.0, OIDC, OAuth 2.0, SCIM provisioning, Microsoft Entra ID or Okta, conditional access, and security group and RBAC design; database connectivity, ODBC and JDBC driver management, service accounts, and secrets management; TLS and certificate lifecycle, hardening baselines, and vulnerability remediation; and REST API operations including authentication schemes, rate limits, quotas, retry and backoff, and structured error handling.

  • Working knowledge of enterprise AI platforms and LLM APIs, including the OpenAI API, the Claude API, ChatGPT Enterprise, and Claude Enterprise, and of ITIL incident, problem, and change management.

  • Advanced scripting and automation skills in Python and PowerShell are essential, including building API clients, automating administrative and deployment workflows, parsing and reconciling large data sets, and producing operational reporting.

  • Proficient with Git and version control workflows, infrastructure-as-code tooling such as Terraform or Bicep, CI/CD pipelines, REST API troubleshooting tools such as Postman and curl, and log and trace analysis.

  • Effective use of AI-assisted development tools such as Claude Code, Codex, or GitHub Copilot to accelerate delivery is valued; candidates who have built working tooling primarily through AI-assisted development are encouraged to apply, provided they can explain, test, secure, and maintain the code they produce.

  • Strong architecture and technical documentation skills, runbook authoring, and the ability to communicate complex technical detail to non-technical stakeholders.

  • Familiarity with tools such as Azure DevOps, Confluence, and Microsoft 365.

  • Able to operate as the recognized technical authority for the platform estate and influence technical direction without formal authority; independently drive ambiguous, complex problems to root cause and permanent resolution; and balance rapid escalation response with longer-horizon architecture and automation work.

  • Demonstrates strong flexibility and adaptability, including a willingness to work across adjacent areas of the department, take on unfamiliar technologies and challenges, and shift priorities as business needs change.

  • Learns new platforms and tools quickly and independently, with genuine curiosity about emerging technology and a track record of moving into unfamiliar technical territory.

  • Committed to cross-skilling and mentoring associates through knowledge sharing, pairing, documentation, and review, and to raising the overall technical capability of the team.

  • Approachable, collaborative, and service-oriented in supporting teammates, customers, and end users.

  • Able to partner credibly with identity, security, networking, infrastructure, and peer engineering teams; manage vendor technical escalations; and coordinate with distributed teams across time zones.

  • English proficiency required.

The pay rate range for this job position are listed below. Actual compensation is influenced by a variety of relevant factors including but not limited to applicant's skills, prior experience, qualifications, degrees, professional certifications, work arrangements and geographic location. Baker Tilly offers a comprehensive compensation and benefits package to eligible employees.

The national pay rate range is $74,200 to $148,230

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