Senior Data Engineer - Hybrid, Cloud & AI Pipelines

Sapient Corporation; Arlington (VA); Hybrid; USD 136,000 - 160,000; Full time

Benefits offered by this job

Inclusive culture

Learning programs

Competitive pay

Work-life balance

Health benefits

Paid leave

Job summary

Publicis Sapient in Chicago is seeking a Senior Associate Data Engineering to design, develop, and maintain scalable Big Data solutions. You will work with real-time processing and cloud-based data platforms to enable data-driven decision-making for clients.

The role emphasizes end-to-end data pipelines, collaboration with cross-functional teams, and mentorship of junior engineers in a hybrid Chicago setting.

Qualifications

• Proven experience implementing end-to-end data pipelines and production-grade data platforms.
• Hands-on experience with at least one leading public cloud data platform: AWS, Azure, or Google Cloud Platform.
• Databricks as a data engineering platform including notebooks, jobs, Delta Lake.

Responsibilities

• Design, develop, and maintain scalable Big Data solutions for clients.
• Lead end-to-end data platform initiatives and modern data pipelines.
• Build batch and streaming pipelines across cloud data platforms and distributed frameworks.
• Support AI-enabled engineering use cases with robust data foundations and scalable data services.
• Automate data platform operations, telemetry pipelines, and post-production observability.
• Mentor junior team members and contribute hands-on to delivery.
• Provide feasibility assessments and project estimates for design and development.

Skills

Python

Big Data

Cloud platforms

Data modeling

MLOps

CI/CD

Team collaboration

Mentoring

Tools

Databricks

AWS

Azure

GCP

Spark

Glue/Lambda/Dataflow

Job description

Publicis Sapient in Chicago is seeking a Senior Associate Data Engineering to design, develop, and maintain scalable Big Data solutions. You will work with real-time processing and cloud-based data platforms to enable data-driven decision-making for clients.

The role emphasizes end-to-end data pipelines, collaboration with cross-functional teams, and mentorship of junior engineers in a hybrid Chicago setting.