Data Engineering Jobs

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

Forward Deployed Software Engineers embed directly with federal health and civilian agency customers, rapidly diagnosing hard problems and building end-to-end solutions. Work spans whiteboarding architecture, data pipelines, operational workflows, AI agent deployment, and advising executives, often within small high-ownership teams. Technologies include Python, Java, TypeScript/React, Spark, and AWS.

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

Forward Deployed Software Engineers embed with federal health and civilian agency customers to solve open-ended, high-stakes problems, owning projects end to end like a startup CTO. Work spans whiteboarding architecture, building data pipelines and operational workflows, deploying AI agents, and advising executives, using Java, Python, TypeScript/React, Spark, and AWS.

Harnham - Data and Analytics Recruitment · London · £90,000 – £100,000 pa

Leads the data and insights function across a complex operational environment, owning strategy, measurement frameworks, scorecards and experiments. Manages and coaches a team of analysts while acting as senior analytical partner to leadership, driving standards and championing responsible AI and automation. Requires strong SQL, cloud warehousing and modern tooling such as BigQuery, dbt, Airflow and Looker/Tableau.

Harnham - Data and Analytics Recruitment · Newcastle upon Tyne · £84,000 pa

Own and oversee a business-critical enterprise data platform built on Microsoft Azure, acting as technical lead for architecture, scalability, governance and operational excellence. Work with Infrastructure, Security and Architecture teams on CI/CD, automation, monitoring and Infrastructure-as-Code, supporting production and incident management while enabling Data Engineers and shaping platform strategy across Data and AI initiatives.

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.

eFinancialCareers · London · £70,000 – £106,000 pa

Designs and builds a greenfield data platform in a hybrid Azure and on-prem environment, creating pipelines, ETL processes and data models while migrating legacy capability. Works within a circa 100-person EMEA Data & Analytics Technology team, mentoring peers and aligning delivery to platform strategy. Requires at least two days a week in the London office.

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

Embedded directly with customers to understand their hardest problems, then architect and build custom applications on Palantir's platforms using large-scale data and AI. Works in small agile teams owning projects end-to-end, from ideation to deployment, with direct stakeholder engagement and up to 25% travel to client sites.

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

Builds the tools and interfaces within Palantir Foundry that let users create data-intensive applications, architecting state management, access patterns and APIs. Works closely with users, designers and backend engineers, and may join a short-term embedded Frontline rotation with customers.

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 · New York, United States

Builds the lowest layers of Palantir's Foundry and Gotham platforms, working on database technologies, distributed systems, large-scale data, security and application infrastructure. Engineers design opinionated APIs, automate systems like Cassandra, Kafka and Kubernetes, and may join a short-term Frontline rotation embedded with customers.

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.