Data Engineering Jobs

Palantir Technologies · New York, United States · US$10,500 pa

Interns contribute production-quality code directly to Palantir's Gotham defense product, working across the full lifecycle from ideation and prototyping to shipping. Paired with a dedicated mentor, they build mission-critical tools like geospatial mapping and alert-triaging inboxes using Java, Go, TypeScript, React, and Spark.

Palantir Technologies · Washington, United States · US$10,500 pm

Internship contributing production code to Palantir's Gotham defense product, working across the full lifecycle from ideation and prototyping to shipping. Interns join small product teams building geospatial mapping tools, alert-triaging inboxes and ML-driven planning systems, paired with a dedicated mentor and collaborating with engineers, designers and deployment strategists.

eFinancialCareers · London · £700 pd

Hands-on role building AI-powered applications, intelligent workflows and machine learning solutions in Python, taking them from concept through to enterprise production deployment. Involves LLMs, agentic frameworks, AI orchestration, model evaluation, testing and monitoring, working with technical teams and business stakeholders to drive AI adoption.

eFinancialCareers · Belfast

Builds and maintains Java/J2EE microservices and RESTful web services for Citi's Risk Data Team within the Institutional Data Platform, working on high-performance data pipelines and aggregation engines. The role involves Core Java multi-threading, Spring Boot, SQL optimisation, CI/CD and code quality tooling, plus leading and mentoring a team of developers. Hybrid working in Belfast with up to two days per week from home.

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, 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

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 · London

Contributes high-quality code to the shared infrastructure behind Palantir Foundry, Gotham and Apollo, spanning backend, developer, frontend and storage infrastructure. Work includes a Kubernetes-based PaaS, secure fleet-wide deployment tooling and observability systems, in small engineering teams building tools for other developers.

Palantir Technologies · London

New-grad engineers contribute production code to the shared infrastructure behind Foundry, Gotham and Apollo, spanning backend, developer, frontend and storage infrastructure. Teams work on a Kubernetes-based PaaS, fleet-wide deployment tooling and observability systems, building tools used by other developers.

eFinancialCareers · London

Designs, builds and optimises scalable Snowflake data solutions for Risk, Finance, Treasury and Regulatory reporting in a financial services environment. Hands-on delivery covers ELT/ETL pipelines, dbt transformation frameworks, Python automation, data modelling and performance tuning, alongside solution architecture and stakeholder workshops.