> Markdown version of [/jobs/ext/1985226-manager-data-engineering](https://www.wearedevelopers.com/jobs/ext/1985226-manager-data-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Manager, Data Engineering

- **Company:** Publicis Groupe
- **Location:** Chicago, IL, United States
- **Salary:** $88,540.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, Database Storage Structures, Python (Programming Language), Meta-Data Management, Cloud Services, SQL Databases, Data Streaming, Tableau (Software), Data Processing, Snowflake, Pyspark, Information Technology, Graphql, Api Design, Data Pipelines, Amazon Redshift, Databricks
- **Published:** August 8, 2026
- **Apply:** https://www.juju.com/job/00000000gm5p4l

## About the Role

+ BS in Computer Science, Information Technology, or related field

 + Strong hands-on experience with PySpark (preferred language for data engineering and automation)

 + Proficiency in Python and SQL for data processing and automation

 + Experience building and maintaining API-based data pipelines, including authentication and error handling

 + Solid knowledge of modern data architecture (data modeling, governance, warehouse, lakehouse)

 + Experience with database structures, ETL, and cloud data platforms

 + Technical documentation skills and ability to communicate complex topics in simple, user-friendly terms

Specific Skills Required:

 + Cloud platforms: AWS, Azure, Databricks

 + Data warehouses/lakehouses: Snowflake, Redshift, Databricks Lakehouse

 + BI tools: Tableau, Datorama (preferred)

 + Strong collaboration skills with cross-functional teams

## Description

The Data Manager of Data Engineering will work in a hands-on and supportive role in our Technology and Data Department. This team processes and maintains all the data that flows into our organization and is the face of the agency regarding data needs from HCP publishers.

You will work with internal and external partners, along with industry vendors, to monitor data transfers, perform data QA'ing and maintain documentation. You will also support the Vice President of Data engineering to enforce enterprise-wide data processes and protocols.

Responsibilities

 + Lead a portfolio of data projects across multiple clients

 + Design and manage scalable pipelines, including ingestion from APIs (REST, GraphQL, vendor feeds) and traditional ETL sources

 + Contribute to data architecture decisions to ensure efficient schema design, scalability, and governance across data warehouses and lakehouses

 + 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


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library)
- [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)

## Related Articles

- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)