Hired - Data Engineer (Palantir Foundry)

You will play a pivotal role in shaping our data strategy, collaborating with stakeholders across the organization, and ensuring the integrity, performance, and cost-efficiency of our data ecosystem. While familiarity with Generative AI (GenAI) is a plus, your core expertise should lie in data architecture, pipeline development, and Foundry platform mastery., Data Architecture & Pipeline Engineering

• Design, build, and maintain end-to-end ETL/ELT pipelines using PySpark, Spark SQL, and Python.

• Architect scalable data frameworks that support high-performance analytics and operational workflows.

• Conduct data cleansing, transformation, and validation to ensure data quality and consistency.

Palantir Foundry Platform Expertise

• Configure and manage data connections, Pipeline Builder, and Contour for data exploration and visualization.

• Develop and maintain ontology objects, ensuring semantic consistency and reusability across applications.

• Manage code repositories and version control within Foundry, promoting modular and maintainable engineering practices.

Ontology-Aware Application Development

• Collaborate with data owners and domain experts to ingest, transform, and model data into ontology-driven applications such as Workshop and Quiver.

• Maintain clarity on the end-to-end architecture and data flow, ensuring seamless integration from ingestion to ontology.

Cross-Functional Collaboration & Leadership

• Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable data solutions.

• Engage with senior leadership to maintain a feedback loop for Foundry program improvements.

• Provide mentorship and technical guidance to junior engineers and analysts.

Operational Excellence & Cost Management

• Establish and maintain cost monitoring and reporting for Foundry-related operations.

• Lead efforts in troubleshooting, performance tuning, and platform stability.

Continuous Improvement & Innovation

• Stay current with Foundry platform updates, emerging features, and best practices.

• Identify opportunities for automation, optimization, and innovation in data workflows.

• Explore and evaluate GenAI capabilities for potential integration into data processes. #LI-RJ1

8+ years of experience in data engineering or related roles.

• Strong proficiency in PySpark, Spark SQL, and Python.

• Deep hands-on experience with Palantir Foundry, including:

• Data Connections

• Pipeline Builder

• Contour

• Code Repositories

• Ontology Management

• Workshop and Quiver

• Solid understanding of data modeling, data governance, and access control.

• Proven ability to troubleshoot complex data issues and optimize performance.

• Excellent communication and collaboration skills., * Experience with cloud platforms (e.g., Azure).

• Familiarity with Snowflake and its integration with Foundry.

• Exposure to Generative AI (GenAI) and its application in data workflows.

• Knowledge of data security, compliance, and metadata management.

The base compensation range for this role in the posted location is: 160,000- 220,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.