Senior Data & AI Engineer - Knowledge Graphs & GCP

Senior Data & AI Engineer - Knowledge Graphs & GCP-080420

Description

 

Location: Hybrid | Philadelphia | U.S. Relocation Available

 About the Job You’re Considering

We are looking for a seasoned Senior Data Engineer with deep expertise in building scalable, cloud-native data platforms and a passion for knowledge graph technologies. In this role, you will architect and optimize data systems that power analytics, machine learning, and real-time decision-making across the organization. You’ll work with cutting-edge tools in GCP, Neo4j, and modern data processing frameworks to transform complex data into actionable insights. This is a hybrid role based in Philadelphia, requiring on-site presence at least 3 days per week. We are open to domestic relocation for the right candidate.

 Your Role

• Design and implement scalable data architectures on GCP, including data lakes, warehouses, and real-time processing systems.
• Develop and optimize ETL/ELT pipelines using Python, SQL, and streaming technologies like Kafka and Apache Beam.
• Model and manage knowledge graphs using Neo4j and GraphQL to capture complex relationships and power intelligent applications.
• Collaborate cross-functionally with data scientists, ML engineers, and business stakeholders in Agile teams to deliver data-driven solutions.
• Automate infrastructure and deployments using Terraform, Jenkins, and CI/CD best practices to ensure reliability and scalability.
• Ensure data quality, governance, and observability through robust validation, monitoring, and documentation practices.

 Your Skills and Experience

• Bachelor’s degree in computer science, engineering, or a related technical field.
• 8-15years of experience in data engineering, with strong expertise in cloud-native architectures (preferably GCP) and distributed systems.
• Proficiency in Python and SQL, with a proven track record of building and optimizing large-scale ETL/ELT pipelines and real-time data streaming solutions (e.g., Kafka, Apache Beam).
• Hands-on experience with knowledge graphs, especially Neo4j, and familiarity with GraphQL for modeling complex data relationships.
• Strong understanding of MLOps practices, including integrating data pipelines with ML workflows and deploying infrastructure using tools like Terraform and Jenkins.
• Excellent communication and presentation skills, with the ability to collaborate across technical and non-technical teams in Agile environments.
• Retail or e-commerce experience is a strong plus, particularly in areas like customer segmentation, personalization, or supply chain analytics.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.

Capgemini Engineering is an integral part of the Capgemini Group, 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. The Group reported 2024 global revenues of €22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

    

Job

 : Developer

Schedule

 : Full-time

Primary Location

 : US-PA-Philadelphia

Organization

 : ERD PPL US