Senior Data Engineer: Databricks & Cloud Data Platform Lead

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

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.