Fusionworldwide

Fusionworldwide

Senior Palantir Engineer

Boston, MA · Senior

Sponsorship not specifiedDetected 64 days ago
TypeScriptPythonC#Code ReviewGitSQLSnowflakeDatabricksAWSGCPAzureCI/CDPandasSparkdbtData EngineeringLLMsCRMSupply ChainLogisticsERPLeadership

About the role

  • Palantir Foundry is a core part of that stack.
  • This is an execution focused role with real autonomy.

Responsibilities

  • Build and maintain data pipelines: Design, build, and optimize batch and streaming pipelines in Foundry (Pipeline Builder with AI assist, Code Repositories, Code Workbook) that ingest data from internal and external source systems.
  • Develop ontology models: Create and maintain ontology objects, relationships, link types, functions, and actions that represent business domains and power downstream applications, agents, and AIP workflows.
  • Build AI native experiences with AIP: Use AIP Logic to compose AI driven functions, AIP Agent Studio to stand up domain agents, and AIP Threads or AIP Assist to embed conversational interfaces into Workshop apps.
  • Use AIP Evals to validate prompt and agent behavior before promotion to production.
  • Deliver Foundry applications: Build and iterate on Workshop, Quiver, and Contour applications that give sales, operations, and leadership actionable views of the business, including embedded agentic actions and write back through Ontology Actions.
  • Work alongside external consultants: Collaborate closely with our Palantir implementation partners to understand existing designs, validate data flows, and progressively take on more of the day to day Foundry work.
  • Connect Foundry to the broader data platform: As the data modernization team builds out medallion layer domain stores and DBT based pipelines on Azure, help align Foundry's ontology and ingestion paths so the platform can transition from legacy sources to the new architecture cleanly.
  • Integrate with external systems: Build and maintain OSDK based integrations and APIs that connect Foundry to internal services and third party platforms.
  • Apply AI tooling to your own workflow: Use AIP and AI assisted development practices to accelerate pipeline work, code review, and documentation.
  • Established in 2001, Fusion Worldwide is a premier, global open market distributor of electronic components with an established reputation of excellence in sourcing, quality, and outstanding customer support.

Requirements

  • You can read an execution plan and explain the cost.
  • You can defend a modeling choice with reasoning, not dogma.
  • Experience designing for slowly changing dimensions, idempotent loads, late arriving data, backfills, and incremental processing.
  • Proficiency in Python, including PySpark and pandas for transformation work.
  • Working knowledge of the Spark execution model: partitioning, shuffles, skew, broadcast joins, and tuning.
  • Experience with ETL and ELT patterns, CDC pipelines, and workflow orchestration.
  • Familiarity with modern transformation frameworks such as DBT, including tests, documentation, snapshots, and incremental materializations.
  • Comfort with Git workflows, code review, branching strategies, and CI/CD for data platforms.
  • 2+ years hands on Palantir Foundry experience with delivered work you can describe in detail.
  • Experience with Foundry analytical and integration tools: Quiver, Contour, OSDK, and Marketplace products.
  • Data Engineering Foundations
  • These are the bedrock skills we expect every senior data engineer on this team to have, regardless of platform. Foundry is the surface
  • these are the muscles underneath.
  • 7+ years building production data pipelines in modern stacks.
  • Strong SQL, including window functions, CTEs, set operations, and query optimization on large datasets. You can read an execution plan and explain the cost.
  • Solid grasp of dimensional modeling (Kimball, star schema), Data Vault, or equivalent. You can defend a modeling choice with reasoning, not dogma.
  • Understanding of columnar formats (Parquet, Delta, Iceberg), table formats, and partitioning strategies.
  • Practical experience implementing data quality frameworks, data contracts, and SLAs between producers and consumers.

Nice to have

  • Production experience with DBT on Azure (Synapse, Fabric, or Databricks).
  • Experience with medallion architecture (Bronze, Silver, Gold) or lakehouse patterns on Databricks, Snowflake, or equivalent.
  • Familiarity with electronics distribution, supply chain, or ERP data, particularly Dynamics GP and Great Plains.
  • TypeScript or C# for OSDK consumers and downstream services.
  • Exposure to CRM, payment, or logistics API integrations.
  • Real engineering problems, not toy projects.
  • Real impact, small team: A lean team where your work is visible and your judgment matters.
  • No layers of approval.

Skills

  • Quiver, Contour, OSDK, and Marketplace products.

Compensation

  • Competitive Base Salary and Uncapped Commission

Benefits

  • Medical, Dental, Vision
  • 401K benefits with company match
  • Short- & Long-Term Disability
  • Life Insurance
  • Implement validation, lineage tracking, health checks, and monitoring within Foundry pipelines.

Company info

  • We use AIP and AI tooling aggressively.
  • Fusion is a global electronics distributor building a modern data platform on top of a 20 year old legacy system.
  • We use it to deliver unified views of our customers, products, and operations, and we are leaning hard into AIP and agent driven workflows to compress delivery cycles.
  • Solving supply chain disruptions is where we are truly able to provide key service to all our customers, and we are looking for motivated individuals like you to join this rapidly growing industry!
  • At our current rate of growth, we are continuously expanding our global footprint to reach all corners of the world, and we are dedicated to finding top talent to help us grow in all regions!
Apply directly at Fusionworldwide →Create a free account for alerts like thisView Fusionworldwide immigration profile

This listing is sourced directly from Fusionworldwide's careers page and normalized into a canonical job model.