FBS Data Engineer

Capgemini; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Grocery vouchers

Saving funds

SGMM

Career development

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Job summary

FBS’s Life Data Platform (LDP) & Data Enablement team seeks a senior Data Engineer to design, build, and operate scalable data pipelines and enterprise data products for analytics and reporting. You will collaborate with business partners, analytics teams, and vendors to deliver trusted data solutions and governance across on-prem and cloud platforms.

The role combines hands-on data engineering with stakeholder engagement, focusing on data models, warehousing, and performance tuning to ensure a

Qualifications

• 7–9 years of professional experience.
• 4–6+ years in Data Engineering, Analytics Engineering, or related disciplines.
• Fluent English (written and verbal) and strong communication skills.
• Experience in cloud-based data environments.
• Bachelor's degree in a technical/engineering field preferred.

Responsibilities

• Design, develop, and maintain scalable data pipelines and integration solutions.
• Build and support enterprise data products for analytics, reporting, and operational use cases.
• Develop and maintain data models, data warehouses, and dimensional modeling solutions.
• Integrate data from internal systems, cloud platforms, APIs and third-party vendors.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Ensure data quality, governance, reliability, and performance.
• Provide technical leadership, mentoring, and best-practices for data engineering.
• Support Agile project planning, estimation, and execution.

Skills

Python

AWS Glue

PySpark

SQL Development

Data Warehousing

REST API Integration

Data Modeling

Data Analysis

Data Pipeline Development

Cloud Data Platforms

Education

Bachelor's degree in a technical field

Job description

OurClientis one of the United States’ largest insurers,providinga wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents andnearly18,500employees. Finally, ourClientis part of one the largest Insurance Groups in the world.

Job Summary

The Life Data Platform (LDP) & Data Enablement team is responsible for acquiring, integrating, governing, modeling, and publishing enterprise data across on-premises and cloud platforms. The team enables trusted, scalable, and business-ready data products, analytics, reporting, and operational insights for Life Insurance functions through modern cloud-based data technologies and data engineering practices.

The Data Engineer will be responsible for designing, developing, and supporting scalable data pipelines, data models, and enterprise data products that drive reporting, analytics, and operational business capabilities. This role combines hands‑on data engineering with stakeholder engagement, working closely with business partners, analytics teams, technology teams, and external vendors to deliver high-quality data solutions and establish a trusted source of enterprise data.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data integration solutions.
• Build and support enterprise data products for analytics, reporting, and operational use cases.
• Develop and maintain data models, data warehouses, and dimensional modeling solutions.
• Integrate data from internal systems, cloud platforms, APIs, and third‑party vendors.
• Collaborate with business stakeholders to gather requirements and translate business needs into technical solutions.
• Ensure data quality, governance, reliability, and consistency across platforms.
• Optimize SQL queries and data processing performance.
• Support cloud‑based data platforms and modern data engineering frameworks.
• Partner with external vendors and cross‑functional teams to deliver successful data initiatives.
• Provide technical leadership, mentoring, and guidance on data engineering best practices.
• Support project planning, estimation, and execution in Agile environments.
• Drive continuous improvements in data architecture, automation, and data platform capabilities.

Required Qualifications

• 7–9 years of total professional experience.
• 4–6+ years of experience in Data Engineering, Analytics Engineering, Data Integration, or related disciplines.
• Fluent English (written and verbal).
• Bachelor's degree in a technical, engineering, quantitative, or related discipline preferred.
• Experience working in cloud‑based data environments.
• Strong stakeholder management and communication skills.

Technical Skills

Required:

• Python (4-6 years)
• AWS Glue
• PySpark
• SQL Development
• Data Warehousing
• REST API Integration
• Data Modeling & Data Analysis
• Data Pipeline Development
• Cloud Data Platforms

Preferred/Nice‑to‑have:

• AWS ecosystem experience
• Data Catalog technologies
• Experience with Life Insurance data environments
• Experience supporting analytical and operational data products
• Experience working with external vendors and TPAs
• Cloud or Data Engineering certifications (AWS, Azure, Snowflake, Databricks, Dremio, GCP, etc.)
• Enterprise Data Integration
• Solution Design & Data Architecture
• Dimensional Modeling
• Query Performance Tuning

Business Knowledge

• Ability to partner effectively with technical and non‑technical stakeholders.
• Strong communication and stakeholder management capabilities.
• Experience translating business requirements into scalable technical solutions.
• Ability to lead technical discussions and provide subject matter expertise.
• Experience working within regulated industries preferred.
• Life Insurance industry experience is a strong plus.
• Ability to balance hands‑on engineering work with stakeholder engagement and project leadership.

Competitive compensation and benefits package:

1. Competitive salary and performance‑based bonuses
2. Comprehensive benefits package: Grocery vouchers, saving funds, SGMM, etc.
3. Career development and training opportunities
4. Dynamic and inclusive work culture within a globally renowned group
5. Private Health Insurance
6. Pension Plan
7. Paid Time Off
8. Training & Development

Note: Benefits differ based on employee level.

Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies.

Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire. FBS does not sponsor or obtain work authorization unless explicitly stated.

Exclusivity of Employment and Conflict of Interest: Upon acceptance of an offer and during employment with FBS, employees will not be permitted to engage in parallel employment, professional activities, or paid work for other entities. Any ownership, partnership, directorship, or participation in other businesses or companies must be fully disclosed and formally reviewed in accordance with FBS internal conflict‑of‑interest and external engagement policies prior to the start date or as soon as such circumstances arise.

Failure to comply with these conditions may impact the hiring decision or employment continuation.