Data Engineering Manager: Scalable Pipelines & Governance

Publicis Health Media; Chicago (IL); On-site; USD 89,000 - 127,000; Full time

Benefits offered by this job

Medical coverage

Dental

Vision

Disability

401K

Parental leave

Tuition reimbursement

Flexible time off

Job summary

Publicis Health Media in the United States seeks a Data Manager of Data Engineering to lead data projects, design scalable pipelines, and partner with BI, Product, and Media Tech teams to automate data flows for multiple clients.

You will oversee ETL and metadata management, enforce data governance, and communicate complex topics in clear terms while advancing enterprise‑wide data processes and documentation.

Qualifications

• Strong hands-on experience with PySpark.
• Proficiency in Python and SQL for data processing.
• Experience building API-based data pipelines with authentication and error handling.
• Knowledge of modern data architecture (modeling, governance, warehouse, lakehouse).

Responsibilities

• Lead a portfolio of data projects across multiple clients.
• Design and manage scalable pipelines, including ingestion from APIs and ETL sources.
• Contribute to data architecture decisions to ensure scalable schema design and governance.
• Partner with BI, Product, and Media Tech teams to automate data integrations and improve data flow reliability.
• Oversee ETL and metadata management to ensure stability, security, and compliance.
• Present issues, trends, and recommendations to internal and external stakeholders.
• Maintain best practices for handling, storing, and governing data.

Skills

PySpark

Python

SQL

APIs (REST/GraphQL)

Data modeling

ETL

Cloud data platforms

Documentation

Data governance

Communication

Education

BS in Computer Science or related field

Tools

AWS

Azure

Databricks

Snowflake

Redshift

Tableau

Datorama

Job description

Publicis Health Media in the United States seeks a Data Manager of Data Engineering to lead data projects, design scalable pipelines, and partner with BI, Product, and Media Tech teams to automate data flows for multiple clients.

You will oversee ETL and metadata management, enforce data governance, and communicate complex topics in clear terms while advancing enterprise‑wide data processes and documentation.