Data Engineering Jobs

Palantir Technologies · Washington, United States · US$10,000 pm

Interns deploy and operate Palantir software across production environments, handling monitoring, alerting, configuration management and upgrades. They debug distributed systems, automate manual runbooks and build infrastructure solutions using Foundry and Apollo, working in small teams with real ownership.

Palantir Technologies · Palo Alto, United States · US$10,000 pa

Interns deploy and operate Palantir software across real production environments, handling monitoring, alerting, configuration management and upgrades. They debug distributed systems issues, automate manual runbooks and build infrastructure solutions using Foundry and Apollo, working in small teams with significant ownership.

Harnham - Data and Analytics Recruitment · Leeds · £50,000 pa

First dedicated data engineering hire in a growing data function, designing and maintaining scalable ETL/ELT pipelines and integrating internal and external sources including APIs. Builds and optimises data models for analytics and customer insight, working in cloud environments and helping evolve Microsoft Fabric capabilities alongside data science and analytics teams.

Harnham - Data and Analytics Recruitment · London · £120,000 – £135,000 pa

Lead a newly formed Data Hub engineering function, owning delivery, technical direction and team development while consolidating fragmented legacy systems into a single governed platform. Combines strategic leadership with hands-on oversight across Snowflake, DBT, SQL and Python, managing distributed teams and establishing Agile, DevOps and reliability best practices.

eFinancialCareers · London · £84,000 – £126,000 pa

Leads data architecture deliverables for a business area or domain, covering current and target state definitions, data cataloguing, and architecture governance. Ensures projects align with data policies and standards while collaborating with global architects and IT/business stakeholders. Supports foundational capabilities underpinning the Data Platform, Client Lifecycle Program, ECB and BCBS 239 in EMEA.

eFinancialCareers · London · £108,000 – £162,000 pa

Sets up and leads the EMEA cross-domain data architecture function, covering domains such as Party, Product, Transaction, Risk, Finance, Compliance, Operations and HR. Drives data domain and data product thinking, target-state architecture, governance and standards, and supports strategic programmes including the Data Platform, Client Lifecycle Programme, ECB and BCBS 239. Works with business and IT stakeholders and global domain architects, using tools such as Collibra, Axon, Purview, Databricks and Snowflake.

Palantir Technologies · Palo Alto, United States

New-grad engineers join Palantir's Foundations org, building shared infrastructure behind Foundry, Gotham and Apollo across backend, developer, frontend or storage tracks. Work spans the full product lifecycle, from design to rollout, with a dedicated mentor and close collaboration with technical and non-technical counterparts.

Palantir Technologies · New York, United States

Builds the tools and interfaces within Palantir Foundry that let users create data-intensive applications, owning APIs, schemas and state management. Works with TypeScript, React, GraphQL and Blueprint, and may join the Frontline program embedding with customers on high-stakes projects.

Palantir Technologies · New York, United States · US$135,000 – US$200,000 pa

Builds the lowest layers of Palantir's software stack, contributing high-quality code for database technologies, distributed systems, large-scale data systems, security and application infrastructure. Work spans performant search and indexing, open-source data processing libraries, container orchestration and opinionated APIs, using Java, Rust, Go, Cassandra, Elasticsearch, Kafka and Kubernetes.

Palantir Technologies · Seattle, United States · US$135,000 – US$200,000 pa

Builds elegant, robust APIs powered by Kubernetes controllers, bridging raw clusters and a fully featured, infrastructure-agnostic runtime for hundreds of microservices. Works with forward deployed and customer engineers on product gaps and a long-term tech roadmap, in a PaaS serving US Government customers in sensitive, disconnected, cloud or edge environments.

Palantir Technologies · Washington, United States · US$135,000 – US$200,000 pa

Builds and evolves APIs powered by Kubernetes controllers, abstracting complex distributed systems so government and vendor developers can deploy microservices into a secure, infrastructure-agnostic runtime. Works with forward-deployed and customer engineers to close product gaps, and champions a long-term roadmap for scalability and reduced operational burden.

Palantir Technologies · New York, United States

Builds the lowest layers of Palantir's Foundry and Gotham platforms, focusing on database technologies, distributed systems, large-scale data, security and application infrastructure. Work spans performant search and indexing, open-source data processing libraries, container scheduling and opinionated APIs, using Java, Rust, Go, Cassandra, Elasticsearch, Kafka and Kubernetes.

Palantir Technologies · New York, United States · US$135,000 – US$200,000 pa

Builds and evolves APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime for hundreds of microservices. Works with forward deployed and customer engineers on a PaaS for US Government customers, shaping the product's early strategy and long-term tech roadmap.

Palantir Technologies · New York, United States · US$110,000 – US$147,000 pa

Ensures stability and reliability of mission-critical workflows built on Palantir software, going on call to resolve incidents before customers are impacted. Uses field learnings to drive product change, shape internal tooling, and automate or streamline workflows, documenting best practices to raise reliability across the organisation.

Palantir Technologies · New York, United States · US$135,000 – US$200,000 pa

Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates like a hands-on AI startup CTO in small teams, delivering high-stakes projects and feeding field learnings back into the AIP product suite. Requires strong engineering and ML foundations plus up to 25% travel to client sites.