Senior Data Engineer — Remote, Big Data & AI Enablement

Capgemini; United States; Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Bonuses based on performance

Comprehensive benefits

Flexible remote/office options

Inclusive, dynamic culture

Private health insurance

Paid time off

Training & development opportunities

Job summary

Capgemini, operating as Employer of Record for Farmers operations, seeks a data-focused professional to acquire, curate, and publish data across on‑premises and cloud environments. You will translate business analytics requests into design, develop scalable data pipelines, data models, and data flows, and support AI/ML initiatives with strong governance and collaboration.

You will build data products for dashboards, reporting, and data science exploration, while coaching junior teammates and

Qualifications

• Experience translating business analytics requests into design and development tasks.
• Ability to build scalable data pipelines for streaming and batch data.
• Knowledge of data governance concepts and compliance guidelines.

Responsibilities

• Consult on data projects to understand design requirements and lead data product implementation.
• Develop advanced data blocks, models, and data flows for reporting and data science use.
• Create data access methods for structured and unstructured data and support API integrations.
• Coach junior associates and collaborate across dependencies to meet project timelines.
• Manage data projects from design to deployment with limited supervision.

Skills

Data pipelines

Data governance

Big data

APIs

AI/ML concepts

Natural language processing

Data modeling

Data visualization

Job description

Capgemini, operating as Employer of Record for Farmers operations, seeks a data-focused professional to acquire, curate, and publish data across on‑premises and cloud environments. You will translate business analytics requests into design, develop scalable data pipelines, data models, and data flows, and support AI/ML initiatives with strong governance and collaboration.

You will build data products for dashboards, reporting, and data science exploration, while coaching junior teammates and