Senior Data Engineer: Cloud Data Pipelines & Scale

Publicis Groupe; Chicago (IL); On-site; USD 88,900 - 165,100; Full time

Job summary

Publicis Groupe is looking for a Senior Data Engineer to join their team in Chicago, Illinois. The role involves troubleshooting production issues, building scalable data products, and improving cloud data platforms using technologies like Databricks and AWS.

Ideal candidates should have a BA/BS in Computer Science, 6-8 years of experience in data engineering, and a strong proficiency in Databricks, SQL, and Python. The position offers a base salary ranging from $88,900 to $165,100.

Qualifications

• 6‑8 years of experience in data engineering, cloud data platform engineering, or large‑scale data systems.
• Deep understanding of distributed systems, cloud data architecture, and data warehousing.

Responsibilities

• Identify and resolve production issues, optimize performance, and address bottlenecks in data processing.
• Design, build, and optimize cloud‑native data pipelines using Databricks, Spark, SQL, and Python.
• Advance our cloud data platform with AWS services for scalability and operational excellence.

Skills

Databricks

AWS

SQL

Python

Spark

Education

BA/BS in Computer Science or related field

Tools

Docker

Kubernetes

Kafka

Airflow

Job description

Publicis Groupe is looking for a Senior Data Engineer to join their team in Chicago, Illinois. The role involves troubleshooting production issues, building scalable data products, and improving cloud data platforms using technologies like Databricks and AWS.

Ideal candidates should have a BA/BS in Computer Science, 6-8 years of experience in data engineering, and a strong proficiency in Databricks, SQL, and Python. The position offers a base salary ranging from $88,900 to $165,100.