Data Engineering Jobs

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

Forward Deployed Software Engineers embed with government customers to design and build end-to-end solutions, moving from ambiguous problem statements through system design, prototyping, application development and data integration. Work spans Palantir platforms, open source tooling and custom builds using Java, Python, TypeScript/React, Spark and AWS, with frequent on-site customer collaboration.

Palantir Technologies · Kitsap, WA · US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed with government customers to scope and build data-driven solutions, often starting from open-ended operational questions. The role spans architecture discussions, large-scale data wrangling, custom web app coding and executive briefings, with end-to-end ownership in small, lightly supervised teams.

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.

eFinancialCareers · London

Designs, builds and optimises a petabyte-scale data platform and Data Lake using cloud-native AWS tooling such as S3, EKS, Glue, Airflow, Trino, Parquet and Redshift, with Apache Iceberg adoption planned. The role sits in a flat-structured Data Services team supporting trading users, combining data engineering, DevOps and CI/CD automation on Linux/Unix infrastructure.

Palantir Technologies · New York, United States · US$145,000 – US$155,000 pa

New-grad engineers join Palantir's Production Infrastructure org, contributing code to Kubernetes-based platforms like Apollo, Rubix and Signals that underpin Foundry and Gotham. Work spans the full product lifecycle, from prototyping to shipping, with a dedicated mentor and close collaboration with technical and non-technical colleagues.

Palantir Technologies · New York, United States

New-grad engineers join Palantir's Foundations organization, building shared infrastructure across the Foundry, Gotham and Apollo platforms in one of four areas: backend, developer, frontend or storage infrastructure. Work spans the full product lifecycle, from idea generation and design to execution and rollout, with a dedicated mentor and close collaboration with technical and non-technical counterparts.

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.