SENIOR DATA ENGINEER

Capgemini is seeking a highly motivated and detail-oriented Data Engineer for a top 10 US Insurance Carrier.
This role you will be one of the individuals accountable for completing analytic engineering projects, which includes elements of data engineering, analytics, requirements gathering, and ML Ops.
You'll play a crucial role in the data ecosystem by working with data/decision scientists transforming raw and curated data into structured, high-quality datasets that are ready for analysis.
This role combines the technical skills of a Data Engineer with the analytical mindset of a Data Analyst and strong business acumen to ensure data is not only collected and stored efficiently but also made accessible and insightful for end-users.
The Analytics Engineer is responsible for the end-to-end data workflow, including data ingestion, transformation, modeling, and validation, to enable data-driven decision-making across the organization.
This position requires a deep understanding of data engineering, business process, and analytics principles, as well as a proactive approach to solving complex data challenges.
Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C).
They proudly serve more than 10 million U.
.
households with more than 19 million individual policies across all 50 states through the efforts of over exclusive and independent agents and nearly employees.
Finally, our Client is part of one the largest Insurance Groups in the world.
Responsibilities Collaborates in agile teams with Data & Decision scientists, enhancing pace and efficiency, for delivery of advanced analytic solutions that improve profitability, expense ratio, and risk selection.
Provides ongoing support, including performance monitoring and troubleshooting for data solutions created working in close partnership with IT.
Identifies and assesses technologies available for required solutions and communicating potential impacts for decisions made.
Ensures quality testing, addresses issues before QA, applies automation, and assists in user acceptance testing.
Manages or supports deployment of updates, improving release efficiency and quality through automation.
Uses analytic tools like AWS, Power BI, Snowflake, DBT and Python effectively.
\n Total Work Experience Minimum Required.
1-3 years (Preferred.
4-6 years) English Proficiency Minimum Required.
Fluent Required Education Bachelor degree (Computer Science, Data Science, Software Engineering) Preferred.
Masters Additional Preferred Branch of Study Masters studies Other Critical Skills.
Paralytic & Problem Solving - Intermediate Written & Verbal Communications - Intermediate Cloud Based Data Platforms - Advanced Data Visualization - Intermediate Ability to influence internal/external constituents - Entry Level Machine Learning Concepts & Tools - Intermediate Software / Tool Skills.
Power BI - Intermediate Excel - Intermediate SQL/Python - Intermediate Office Suite - Entry Level Cloud Data Platforms - Intermediate DBT - intermediate \n Competitive compensation and benefits package.
Competitive salary and performance-based bonuses Comprehensive benefits package Career development and training opportunities Flexible work arrangements (remote and/or office-based) Dynamic and inclusive work culture within a globally renowned group Private Health Insurance Pension Plan Paid Time Off Training & Development Performance Bonus Note.
Benefits differ based on employee level.
About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.
The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future.
It is a responsible and diverse organization of over team members in more than 50 countries.
With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
The Group €22.
billion in revenues in .
https://www.
apgemini.
om/us-en/about-us/who-we-are/