Senior Big Data Engineer: Build Scalable Data Pipelines

Publicis Groupe Holdings B.V; Chicago, Arlington (IL, VA); Hybrid; USD 136,000 - 160,000; Full time

Benefits offered by this job

Inclusive workplace

Learning & development opportunities

Competitive compensation and benefits

Flexible work arrangements

Comprehensive health benefits

Job summary

Publicis Sapient in Chicago Hybrid is seeking a Senior Associate Data Engineer to design, develop, and maintain scalable Big Data solutions across batch and streaming pipelines on cloud platforms. You will work with clients to translate requirements into data architectures, mentor juniors, and contribute hands-on to delivery, with a focus on AI-enabled data foundations and observable, reliable systems.

Strong Python and cloud data platform experience required; knowledge of Databricks, BigQuery,

Qualifications

• End-to-end data pipelines experience
• Cloud data platform familiarity
• Python proficiency
• Data modeling and lakehouse knowledge
• CI/CD and production support practices

Responsibilities

• Design, develop, and maintain scalable Big Data pipelines
• Collaborate with clients to translate requirements into data solutions
• Mentor junior team members and contribute hands-on to delivery
• Support AI-enabled data foundations and observability pipelines

Job description

Publicis Sapient in Chicago Hybrid is seeking a Senior Associate Data Engineer to design, develop, and maintain scalable Big Data solutions across batch and streaming pipelines on cloud platforms. You will work with clients to translate requirements into data architectures, mentor juniors, and contribute hands-on to delivery, with a focus on AI-enabled data foundations and observable, reliable systems.

Strong Python and cloud data platform experience required; knowledge of Databricks, BigQuery,