Senior Data Engineer

UNAVAILABLE; Chicago (IL); On-site; USD 88,000 - 103,000; Full time

Benefits offered by this job

Medical coverage

Dental insurance

401K

Tuition reimbursement

Flexible time off

Job summary

Publicis Media is seeking an experienced Data Engineer to design and maintain scalable ETL and ELT pipelines using cloud-native technologies such as AWS and Databricks. The ideal candidate will have a Bachelor's degree in Information Technology and at least 4 years of experience in data engineering. Responsibilities include assembling and transforming complex datasets and mentoring junior engineers. The role offers a compensation range of $88,000 – $103,000, alongside a comprehensive benefits package. This position is based in Chicago, Illinois.

Qualifications

• 4+ years of experience in data engineering or a related role.
• Strong hands-on experience with ETL/ELT frameworks.
• Proficiency in Python for data processing and automation.

Responsibilities

• Design, build, and maintain ETL and ELT pipelines.
• Assemble, transform, and manage complex datasets.
• Mentor and train junior data engineers.

Skills

ETL/ELT frameworks

Cloud data platforms

Relational databases

Advanced SQL

Python

Databricks

Version control (Git)

Mentoring

Education

Bachelor’s degree in IT, Computer Science, or Engineering

Tools

AWS

Databricks

SQL

Amazon Redshift

Job description

Company Description

Publicis Media is a social marketing and dynamic content center of excellence, specializing in connecting brands to consumers in real-time, social environments.

Responsibilities

• Design, build, and maintain scalable ETL and ELT pipelines based on business requirements, user stories, and architectural standards.
• Assemble, transform, and manage large, complex datasets using cloud-native technologies (AWS, Databricks, Amazon Redshift) and SQL-based processing.
• Design and maintain relational data models to support analytics, reporting, and downstream consumption.
• Lead performance, reliability, and scalability efforts across the data platform, including monitoring, tuning, and optimization of pipelines and workloads.
• Develop and maintain Databricks solutions leveraging Spark, Delta Tables, and managed workflows (jobs, orchestration).
• Implement data governance and access controls using Unity Catalog and platform best practices.
• Use Git-based version control to manage code, support peer collaboration, and enable CI/CD workflows.
• Lead and support data platform migrations into Databricks, including legacy warehouse modernization and pipeline refactoring.
• Mentor and train junior data engineers through code reviews, technical coaching, and knowledge sharing.
• Create clear, accurate, and maintainable technical documentation.
• Participate in on-call rotation and provide escalation support for production issues as needed.

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field.
• 4+ years of experience in data engineering or a related role.
• Strong hands‑on experience with ETL/ELT frameworks and cloud data platforms (e.g., Databricks, AWS Glue, Amazon Redshift).
• Strong experience with relational databases and advanced SQL, including schema design, joins, window functions, performance tuning, and query optimization—particularly in Amazon Redshift or comparable cloud data warehouses.
• Proficiency in Python for data processing, automation, and pipeline development.
• Deep hands‑on experience with Databricks, including Spark optimization, Delta Tables, and Unity Catalog.
• Experience migrating data pipelines and workloads into Databricks from legacy or cloud data warehouse platforms (plus).
• Databricks certifications (e.g., Data Engineer Associate or Professional) a plus.
• Proficiency with Git and version control best practices in a collaborative development environment.
• Proven ability to mentor junior engineers and promote engineering best practices across the team.
• Excellent communication skills, with the ability to clearly explain technical concepts to technical and non‑technical stakeholders.
• Strong customer service mindset with the ability to translate business needs into reliable, scalable data solutions.
• Highly organized, self‑motivated, and able to manage multiple priorities in a fast‑paced environment.
• Digital media or ad tech experience, especially in data‑centric roles, is a plus.

Benefits

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

Compensation

Compensation Range: $88,000 – $103,000. The Company reserves the right to modify this pay range at any time.

EEO & Equal Opportunity

If you require accommodation or assistance with the application or onboarding process specifically, please contact [e-mail]. All your information will be kept confidential according to EEO guidelines.