Palantir Data Engineer Job at Airswift Sweden

Palantir Data Engineer

As an analytics professional, you’re excited at the prospect of unlocking the se...

Location

United States , Baltimore

Salary:

77600.00 - 176000.00 USD / Year

Booz Allen Hamilton

Expiration Date

Until further notice

Requirements

3+ years of experience with Python, TypeScript, or Foundry AIP for application development
Experience with Data Connections and Code Repos or Pipeline Builder for data ingestion and transformation
Experience with Foundry application and workflow development in Workshop and Ontology Manager
Experience working with Agile software teams, conducting code reviews, and implementing DevSecOps practices
Experience with Git repositories, CI/CD workflows, or infrastructure automation
Ability to engage with stakeholders, define requirements, and translate them into technical solutions
Ability to obtain a Secret clearance
Bachelor's degree

Job Responsibility

As an AI Solutions Architect on our Defense Technology team, you’ll introduce innovative methodologies to make a real-world impact on protecting our military
You’ll share your skills in data engineering, data science modeling and technology integration to shape the future of analytics through developing solutions to drive the mission forward
Support complex data exploration and analytics projects through your experience with Palantir for Defense clients

What we offer

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Fulltime

Palantir Data Engineer

We are seeking an experienced Palantir Data Engineer to support large-scale tran...

Location

Romania

Salary:

Not provided

Airswift Sweden

Expiration Date

Until further notice

Requirements

Proven experience with Palantir and Spark in large transformation projects
Strong background in data engineering, data modelling, and data quality
Proficiency with Git and automated testing frameworks
Familiarity with data catalogue tools

Job Responsibility

Design and implement data pipelines within Palantir and Spark environments
Develop and maintain data models, catalogues, and quality frameworks
Collaborate on workshops and AIP Logic initiatives (Agentic AI advantageous)
Integrate automated testing and version control (Git) into workflows
Support ontology development and chatbot integration
Contribute to front-end applications using React and TypeScript

Fulltime

Senior Data Engineer – SAP BI & Palantir Foundry

An opportunity for a Senior Data Engineer has arisen within Airbus Helicopters (...

Location

Spain , Albacete

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

5 to 10 years of professional experience in Data Engineering, specifically focused on SAP BI and Palantir Foundry
Master’s degree in Computer Science, Software Engineering, or a related field
Extensive hands-on experience with SAP BW
Proficiency in ABAP for ETL, HANA Calculation Views and AMDP script
Proven track record of developing in Foundry (Data Connection, Code Repos, Pipeline Builder, Workshop)
Advanced proficiency in Python (PySpark) and SQL
Strong understanding of Agile and SCRUM methodologies
Ability to thrive in a collaborative Agile team environment
Analytical mindset capable of troubleshooting complex data discrepancies across hybrid systems
Fluent in English (daily working language)

Job Responsibility

Actively participate in all Agile ceremonies (PI Planning, System Demos, Sprint Retrospectives)
Collaborate within a cross-functional Agile Team to deliver 'Definition of Done' increments
Design and develop complex data models within SAP BW (on HANA / BW/4HANA)
Manage back-end extractions (ABAP, CDS views), transformation logic, and optimize queries for large-scale industrial datasets
Build and maintain end-to-end data pipelines in Palantir Foundry
Utilize PySpark and SQL to transform raw data into a structured 'Ontology' that powers operational decision-making
Ensure seamless data flow between the SAP landscape and the Palantir environment, maintaining high standards of data integrity and latency
Apply DevOps and DataOps principles
Perform peer code reviews, automated testing, and maintain technical documentation to ensure long-term maintainability of the data platform
Contribute to the 'Enabler' stories to improve the architectural runway of the Data & Analytics platform

What we offer

Vacation days plus additional days-off along the year (Apróx. 35 days per year in total)
Attractive salary
Hybrid model of working
Collective transport service subject to working calendar/home location
Benefits such as life insurance, health insurance, employee stock options, retirement plan, or study grants
On-site facilities (among others): free canteen, kindergarten, medical office
Possibility to collaborate in different social and corporate social responsibility initiatives
Excellent upskilling opportunities and great development prospects in a multicultural environment
Option to access special rates in products & benefits

Fulltime

Data Engineer

A healthcare company based in the Midwest is looking to hire a remote Data Engin...

Location

United States , Detroit

Salary:

85000.00 - 95000.00 USD / Year

Strategic Employment Partners

Expiration Date

Until further notice

Requirements

1+ years in stakeholder-facing Data Engineering/Data Analytics position
Consulting experience
Databricks, Foundry, or Snowflake
Python, PySpark, TypeScript

Job Responsibility

work closely with stakeholders on low code data engineering solutions

Fulltime

Data Engineer / Scientist

As a Data Engineer/Scientist at Actica, you will have the opportunity to design,...

Location

United Kingdom , London; Guildford; Bristol; M4 corridor

Salary:

Not provided

Actica Consulting

Expiration Date

Until further notice

Requirements

Coding expertise in Python or R
Collaborative, team-based development
Cloud analytics platforms e.g. relevant AWS and Azure platform services
Hands on experience with Palantir ESSENTIAL
Data science approaches and tooling e.g. Hadoop, Spark
Data engineering approaches
Database management, e.g. MySQL, Postgres
Software development methods and techniques e.g. Agile methods such as SCRUM
Software change management, notably familiarity with git
Public sector best practice guidance, e.g. ITIL, OGC toolkit

Job Responsibility

Design, implement, and maintain scalable data pipelines and ETL processes
Develop and maintain data warehouses and data lakes
Implement data quality monitoring and validation systems
Create and maintain data documentation and cataloguing systems
Optimize data storage and retrieval systems
Implement data security and governance frameworks
Build and maintain data APIs and services
Translate business problems into data queries and solutions
Develop and deploy machine learning models
Create advanced analytics solutions

What we offer

25 days of paid leave per annum plus 8 UK bank holidays
Discretionary, Performance-Based Bonus Scheme
Enrolment in Stakeholder Pension Scheme
Cycle To Work Scheme
Employee Assistance Programme
Electric Vehicle Leasing Scheme
Private Medical Insurance

Fulltime

Forward Deployed Software Engineer – Palantir Foundry

We’re seeking a Forward Deployed Software Engineer (FDSE) with deep expertise in...

Location

United States

Salary:

Not provided

Inabia Solutions & Consulting

Expiration Date

Until further notice

Requirements

Proficiency in Java/Python, TypeScript/React, and Palantir Foundry (Ontology, Pipelines, AIP)
Hands-on experience with AWS (EMR, Athena, S3), Spark, and backend frameworks (Spring Boot)
5+ years in software/data engineering, with 2+ years deploying Palantir Foundry in production
Degree in Computer Science, Data Engineering, or related field
Ability to dissect ambiguous challenges and architect scalable solutions under tight deadlines
Strong communication to align technical teams and executives on vision, trade-offs, and results
Curiosity to learn new tools (e.g., Palantir’s AIP) and adapt to evolving client needs

Job Responsibility

Partner with clients to translate business needs into technical architectures using Palantir Foundry (Ontology, Slate, Workshop, AIP)
Build end-to-end applications—ETL pipelines (Spark/PySpark), microservices (Java/Python), and intuitive front-ends (React, TypeScript)
Optimize AWS workflows (S3, Glue, Lambda, EMR) and implement AI/LLM-driven solutions where applicable
Iterate on solutions in agile environments, balancing scalability with immediate client needs
Ensure robust deployments via CI/CD (Docker, Kubernetes), security compliance, and performance tuning
Mentor stakeholders, drive adoption, and deliver clear ROI through data-driven workflows

Fulltime

Data Engineer

Location

India , Bangalore

Salary:

Not provided

avis budget group

Expiration Date

Until further notice

Requirements

Experience: 3-5 Years
Proficiency with fundamental front-end languages such as HTML, CSS, MySQL, Oracle, MongoDB, and JavaScript preferred
Proficiency with server-side languages for structured data processing
Python, Py Spark, Java, Apache Spark, and Spark SQL preferred

Job Responsibility

Developing back-end code logic that leverages semantic object linking (ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology Manager
Creating servers, databases, and datasets for functionality as needed
Ensuring health of data connections and pipelines (utilizing filesystem, JDBC, SFTP, and webhook)
Ensuring conformance with security protocols and markings on sensitive data sets
Ensuring responsiveness of web applications developed on low code/no code solutions
Ensuring cross-platform optimization for mobile phones
Seeing through projects from conception to finished product
Meeting both technical and customer needs
Staying abreast of developments in web applications and programming languages

Fulltime

Graduate Data Engineer

As a Graduate Data Engineer, you will build and maintain scalable data pipelines...

Location

United Kingdom , Marlow

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Mathematics, or similar, or similar work experience
Up to 2 years of experience building data pipelines at work or through internships
Can write clear and reliable Python/PySpark code
Familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud)
Deep understanding of data models, relational and non-relational databases, and how they are used to organize, store, and retrieve data efficiently for analytics and machine learning
Knowledge about software engineering methods, including DevOps, DataOps, or MLOps is a plus
Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience
Experience with Generative AI (GenAI) and agentic systems will be considered a strong plus
Have a proactive and adaptable mindset: willing to take initiative, learn new skills, and contribute to different aspects of a project as needed to drive solutions from start to finish, even beyond the formal job description
Show a strong ability to thrive in situations of ambiguity, taking initiative to create clarity for yourself and the team, and proactively driving progress even when details are uncertain or evolving

Job Responsibility

Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets
Assist in preparing and optimizing data pipelines to support machine learning and AI model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams
Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions
Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus on Palantir Foundry workflows and tools
Participate in developing and refining dashboards and reports in Foundry to visualize key metrics and insights
Collaborate with Product, Engineering, and GTM teams to align data architecture and solutions, learning to support scalable, self-serve analytics across the organization
Have some prompt engineering experience with large language models, including writing and evaluating complex multi-step prompts
Continuously develop your understanding of the company's data landscape, including Palantir Foundry's ontology-driven approach and best practices for data management

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Palantir Data Engineer

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