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Data Engineer Palantir Jobs in Wisconsin (NOW HIRING)

Software Engineer, Data (L1)

Stevens Point, WI · On-site

$111K - $133K/yr

Software Engineer, Data (L1) Austin, TX (Onsite 4 days per week) Note: This is a full-time role and ... Weaccomplish this by building a data foundation utilizing Palantir Foundry, AIP and Ontology that ...

The IT Manager, Data & Analytics owns and governs Komatsu's enterprise data and analytics platforms, including Palantir Foundry, Microsoft Power BI, Azure Synapse, and associated data engineering ...

... includes Palantir Foundry, AWS Bedrock, Amazon SageMaker, cloud-native services, and emerging Generative AI technologies. You will partner with Data Engineering, Data Science, Architecture ...

... includes Palantir Foundry, AWS Bedrock, Amazon SageMaker, cloud-native services, and emerging Generative AI technologies. You will partner with Data Engineering, Data Science, Architecture ...

... includes Palantir Foundry, AWS Bedrock, Amazon SageMaker, cloud-native services, and emerging Generative AI technologies. You will partner with Data Engineering, Data Science, Architecture ...

... includes Palantir Foundry, AWS Bedrock, Amazon SageMaker, cloud-native services, and emerging Generative AI technologies. You will partner with Data Engineering, Data Science, Architecture ...

Build agentic workflows and task-specific AI agents-using Palantir AIP or the Microsoft Agent ... Data, ML & Software Engineering * Build and maintain the data pipelines that feed AI systems ...

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Data Engineer Palantir information

What does a data engineer at Palantir do?

A Data Engineer at Palantir is responsible for designing, building, and maintaining the data infrastructure that powers Palantir’s software platforms. They work closely with clients to ingest, process, and transform large volumes of data from disparate sources, ensuring that data is reliable, accessible, and optimized for analysis. Data Engineers also collaborate with other technical teams to implement data integration pipelines, develop scalable solutions, and help organizations make data-driven decisions using Palantir's tools.

What skills and qualifications are needed to thrive as a data engineer at Palantir?

To thrive as a Data Engineer at Palantir, you need strong programming skills (Python, Java, or Scala), in-depth knowledge of database systems, and experience with large-scale data pipelines, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, and Palantir Foundry, as well as familiarity with cloud platforms (AWS, GCP, or Azure), is typically required. Outstanding problem-solving abilities, collaboration, and adaptability help you work effectively in dynamic, cross-functional teams. These skills and qualities are vital for building robust data solutions that drive impactful insights and support complex client operations.

What are common challenges data engineers face when working with Palantir's platforms, and how can they be addressed?

Data Engineers at Palantir often encounter challenges such as integrating disparate data sources, maintaining data quality, and ensuring data security within complex environments. Addressing these challenges requires strong collaboration with cross-functional teams, continuous learning of Palantir’s proprietary tools like Foundry, and implementing best practices for data governance. Proactively communicating with stakeholders and leveraging Palantir’s support resources can help resolve integration issues and optimize data pipelines.

What is the difference between Data Engineer Palantir vs Data Analyst Palantir?

AspectData Engineer PalantirData Analyst Palantir
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and deriving insights
Required SkillsSQL, Python, data architecture, ETL processesSQL, Excel, data visualization, statistical analysis
Work EnvironmentTechnical teams, data engineering projects, infrastructure developmentBusiness teams, reporting, data interpretation
Common CertificationsGoogle Cloud Certified, AWS Data Analytics, Microsoft Certified: Data Analyst AssociateMicrosoft Certified: Data Analyst Associate, Tableau Desktop Specialist

While Data Engineer Palantir focuses on building and maintaining the data infrastructure, Data Analyst Palantir concentrates on analyzing data and providing insights. Both roles require strong SQL skills and familiarity with Palantir platforms, but they serve different functions within data teams.

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

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

What cities in Wisconsin are hiring for Data Engineer Palantir jobs?

Cities in Wisconsin with the most Data Engineer Palantir job openings:

Platform Engineer - Palantir

Acrisure

Stevens Point, WI • On-site

Full-time

Re-posted 14 days ago


Acrisure rating

7.5

Company rating: 7.5 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

225th of 315 rated insurance


Job description

AURIS AI| PLATFORM ENGINEERING

Platform Engineer - Palantir

Hands-On Builder, Cost Steward & Component Curator

About Acrisure

Acrisure is a global fintech leader empowering ambitious businesses and individuals with customized solutions that drive growth and impact. We combinecutting-edgetechnology with expert human support to deliver tailored insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services, and more.

In the last twelve years, Acrisure has grown from $38 million in revenue tonearly$5 billionand now employs more than 19,000 colleagues across 20+ countries. Built on entrepreneurial spirit, we prioritize leadership, accountability, and collaboration - equipping our teams to work at the highest levels and solve meaningful challenges.

Role Summary & Mission

The Platform Engineer - Palantir is the technical owner of Acrisure's Palantir environment - the personultimately accountablefor the substrate that every Palantir use case is built on. Where FD Partner, FD Delta, and FD Echo are forward-facing roles deploying value to business units, this role is the internal-facing counterpart: the operator, architect, and component curator who defines what the entire Program can build on, how it builds, and how efficiently it builds.

This role is intentionally designed as both senior and hands-on. The Platform Engineer sets the strategy for ingress and egress, marking and permissions architecture, environment topology, compute and storage cost optimization, release governance, and the reusablecomponentcatalog - and then implements that strategy hands-on inside the platform. The person in this seat must be the most technically credible voice in the room on Palantir platform mechanics, while also presenting cost-to-value, capacity, and reusability tradeoffs to the CTO and executive sponsors. Credibility in this role is earned through doing, not delegating.

This is a primarily internal-facing role. Travel is minimal - typically less than 10% (1-2 nights/month) on average, primarily for Palantir partner engagement, working sessions, and occasional business unit deployments.

Key Responsibilities

Hands-On Platform Operations

  • Actively configure and operate Palantir tenant settings across the platform stack - Projects, Groups, Markings, Roles, Resource Queues, Compute, and product-level controls - making changes directlyinthe platform rather than routing them to engineers.

  • Design and implement the ingress strategy: source system connections, connectors, schema management, and standards for incremental, batch, and streaming data flows.

  • Design and implement the egress strategy: Marketplace exports, OSDK and external API exposure, file/data export controls, and downstream consumption boundaries.

  • Own the permissions architecture across the platform - marking taxonomy, group hierarchy, role assignments, and least-privilege standards - and personallymaintainthe most sensitive configurations.

  • Personally triage and resolve platform admin issues - permissions, provisioning, ingress/egress configuration, and resource queue contention - rather than routing them to Platform Engineers or Palantir support.

  • Be a go-to resource for external teamsleveragingthe Palantir Platform and escalating questions and issues for resolution.

Componentization & Reusability

  • Drivethe platform-wide reusablecomponentcatalog - pipeline templates, Ontology patterns, Workshop building blocks, OSDK modules, Marketplace products, reusable agents, and shared utilities - covering both platform-management and business-facing use cases.

  • Establish standards for what gets componentized, how components are versioned and documented, and how they are discovered and consumed by FD Delta, FD Echo, and the broaderPlatform.

  • Partner with FD Delta and FD Echo to extract reusable patterns from delivered use cases, promote them into the catalog, andconsolidateduplication across the portfolio.

  • Maintain a library of platform-management components - provisioning workflows, permissions templates, audit reports, cost dashboards - that the Platform Engineering team uses tooperatethe environment efficiently.

Cost & Resource Optimization

  • Own end-to-end FinOps for the Palantir environment - usage forecasting, compute optimization, build schedule efficiency, storage tiering, and licensingutilizationacross all platform tools.

  • Establish resource quotas, project allocation models, and guardrails across thePlatformportfolio to prevent runaway cost while enablingdeliveryvelocity.

  • Identifyand remediate cost anomalies in real time; partner with Finance on chargeback,showback, and capacity-based budgeting models.

  • Present cost-to-value tradeoffs, capacity decisions, and reusability ROI to the CTO and executive sponsors with supporting data, framed in business terms.

Governance, Standards & Team Leadership

  • Establish and enforce platform governance standards: branching strategy, environment promotion (dev/staging/prod), release approvals, and change management - and define the SLAs for platform admin services that the Platform Engineering team commits to.

  • Drivethe Palantir platform security posture in partnership with InfoSecand Data team- marking taxonomy, audit logging, sensitive data handling, and compliance support (SOC 2, NYDFS, GDPR, and other applicable regimes).

  • Maintain platformstandardsdocumentation and ensure adherence across FD Delta, FD Echo, Platform Engineering, and Palantir FD Team contributions.

  • Support the Platform Engineering team: contributing to mentorship, technical direction, and standards setting.

  • Support escalation triage for platform constraints raised by FD Partner, FD Delta, and FD Echo - and contribute technical input on platform-vs-delivery tradeoffs.

  • Coordinate directly with Palantir on platform upgrades, feature rollouts, and capability roadmap alignment.

Required Skills & Competencies

Palantir Platform Proficiency (Required - Not Optional)

  • Deep hands-onexpertisewith Palantir tenant administration across the platform stack: Projects, Groups, Markings, Roles, Resource Management, Compute Modules, and audit/observability tooling.

  • Hands-on experience with ingress patterns - connectors, agent-based ingestion, source system integration, and pipeline scheduling at enterprise scale.

  • Hands-on experience with egress controls - Marketplace, OSDK external endpoints, data export governance, and external-facing API exposure.

  • Workingproficiencyacross the Palantir product surface - Foundry (Pipeline Builder, Code Repositories, Ontology, Workshop, OSDK), AIP (Agent Studio, Logic, Evals), and adjacent products (Marketplace, Quiver) - sufficient to administer, govern, and componentize each.

  • Strong Python, TypeScript/JavaScript, and SQL skills - the Platform Engineer writes platform tooling, automation, reusable components, and remediation code, not just reviews it.

Componentization & Standards

  • Demonstrated experience building andmaintainingsharedcomponentlibraries, internal developer platforms, or reusable pattern catalogs.

  • Strong API design and abstraction instincts - knows when something is ready to be a reusablecomponentversus a one-off implementation.

  • Documentation and developer-experience sensibility - components only deliver value if they get discovered, understood, and adopted.

Platform Operations & FinOps

  • Demonstrated experienceoperatingan enterprise data platform at scale (Foundry, Snowflake, Databricks, or equivalent).

  • Strong FinOps fundamentals - usage forecasting,computeand storage cost optimization, chargeback model design, and capacity planning.

  • Experience with release management, CI/CD pipelines, and environment promotion strategies.

Governance & Security

  • Working knowledge of enterprise security and access control patterns: RBAC, ABAC, attribute-based markings, least privilege, identity federation, and SSO.

  • Experience supporting compliance frameworks such as SOC 2, NYDFS, GDPR, HIPAA, or similar regulated environments.

  • Demonstrated comfort partnering with InfoSec, Internal Audit, and Enterprise Architecture peers - translating platform mechanics into language those audiencesrequire.

Leadership & Communication

  • Demonstrated ability to work effectively within a senior technical team - contributing to direction and standards while executing hands-on.

  • Ability to present platform cost, capacity, reusability, andrisktradeoffs to a CTO/CIO-level audience and to translate technical decisions into business outcomes.

  • Strong written communication skills - able to author governance documents, RFCs, architecture decision records,componentspecifications, and platform standards.

Experience

  • 5-10+ years of experienceoperating, architecting, and administering enterprise platforms.

  • Prior Palantir Foundry administration experience strongly preferred; experienced platform leads from Snowflake, Databricks, or AWS/Azure-native enterprise data stacks are encouraged to apply.

  • Prior experience in insurance, financial services, or similarly regulated industries is a strong plus.

  • Bachelor's orMaster's degree in Computer Science, Engineering, or related technical field.

  • Optional: Bachelor's orMaster's degree in Business, Finance, or related business field.

Success Metrics / KPIs

Metric& Indicator of Success

Admin Request SLA Adherence

% of access, provisioning, ingress/egress, and configuration requests fulfilled within committed turnaround targets

Cost Efficiency

Compute, storage, and licensing cost per active use case trending favorably quarter-over-quarter

Permissions Hygiene

% of projects, groups, and markings in compliance with least-privilege standards; reduction in audit findings

Ingress / Egress Posture

Zero unauthorized data movement events; 100% of inbound and outbound data flows mapped, classified, and approved

ComponentCatalog Adoption

# of reusable components in the catalog and % of new use cases consuming 1 catalogedcomponent

Platform Team Throughput

Platform Engineering velocity against capacity plan; reduction in cross-pod escalations and repeat requests

Interactions / Stakeholder Map

Stakeholder| Relationship Type| Key Interaction

Platform Engineering Team

Peer & Contributor

Peer collaboration; technical contribution, mentorship, and standards adherence

FD Partner

Support

Platform constraints, environment provisioning, deployment coordination, escalation

FD Delta

Govern & Partner

Standards enforcement, build infrastructure, code repository administration, component extraction and promotion

FD Echo

Collaborate& Partner

Productionalization handoff, monitoring configuration, release management, reusable lifecycle templates

CTO & Executive Sponsors

Report & Advise

Platform strategy, cost-to-value tradeoffs, capacity, risk, reusability, and roadmap reporting

InfoSec & Internal Audit

Comply & Partner

Security posture, audit findings, compliance reporting, sensitive data handling

Enterprise Data Team

Peer & Align

Integration patterns, identity strategy, egress policy, enterprise data architecture

Finance

Partner

Chargeback andshowbackmodels, capitalization logic, cost reporting, capacity forecasting

Candidate Experience & Workplace Culture

We strive for inclusive job descriptions and encourage candidates from all backgrounds - including those who might not meet every preferred qualification - to apply and grow with us. Acrisure believes that diversity of experience le...


What Acrisure employees say

Pay

Benefits

Hours and flexibility

Workplace

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