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 · 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.

eFinancialCareers · London · £1,100 – £1,200 pd

Hands-on KDB+/q engineering role in a front-office technology team supporting electronic trading across Fixed Income markets. You will build real-time pricing, trading and risk applications, maintain data pipelines and APIs, and work directly with traders and quants on high-performance time-series platforms, including production support and releases.

eFinancialCareers · London

Partners with portfolio managers, IT and data engineering to assess data needs across equities, FX, rates, fixed income and credit, then sources and evaluates market, reference, pricing and alternative datasets for systematic strategies. Leads complex data projects, compares vendors and negotiates agreements, and advises on data operations such as cost allocation, cataloguing and delivery infrastructure.

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 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 · 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.

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

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 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 · 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 · Palo Alto, United States · US$135,000 – US$145,000 pa

Build, operate and maintain high-performance, scalable services across Palantir platforms and government deployments. Day-to-day work spans monitoring, configuration management, upgrades, migrations, debugging production issues, on-call support, and automating manual workflows using Java, Go, Python or JavaScript.

eFinancialCareers · London

Builds a greenfield Data Control Plane for a global financial services group, working across React/TypeScript frontends and Python/FastAPI backend services on AWS. Involves catalogue browsing, search, data grids, secure APIs, identity and access management, plus AI-enabled features using managed LLM services. Spans the full engineering lifecycle with CI/CD, Infrastructure as Code and observability.

eFinancialCareers · London

Embedded within a hedge fund's investment team, building Python research platforms, simulation and backtesting frameworks, data pipelines and tooling for systematic trading strategies. Works daily with quantitative researchers and portfolio managers to productionise signals and models, with a focus on testing, CI/CD and scalable system design.

eFinancialCareers · London

Acts as Product Owner and Business Analyst within a value stream, translating complex fixed income requirements into epics, features and user stories while owning the team backlog in Azure DevOps. Bridges business and technology across Index Management, R&D, Operations and Technology, ensuring asset-specific needs become reusable data services rather than bespoke silos, with UAT and agile ceremony support.