Senior Data Engineer - PySpark/GenAI on AWS (Hybrid)

Publicis Groupe; Chicago (IL); Hybrid; USD 146,000 - 182,000; Full time

Benefits offered by this job

Comprehensive health coverage

401(k)

Tuition assistance

Commuter benefits

Professional development

Employee recognition

Charitable donation matching

Health coaching and counseling

Job summary

Publicis Groupe in Chicago is seeking a Senior Data Engineer to develop and optimize AI-enabled data pipelines on AWS, including PySpark ETL and SQL-driven transformations on Greenplum. You will build scalable data products, ensure data quality, and implement secure, auditable CI/CD workflows.

The role requires a Master’s degree with 2+ years experience and offers hybrid work with on-site days in Chicago. Compensation ranges from USD 145,870 to USD 182,000 annually.

Qualifications

• Master’s degree in Computer Science, Information Technology, Engineering or related field and two years of experience in the job offered or two years in any occupation with required experience.

Responsibilities

• Develop and execute software tests; write and optimize SQL scripts and Python scripts for large-scale transformations on Greenplum.
• Design and maintain AI-enabled PySpark data pipelines on AWS (EMR, Glue, Athena, DynamoDB, S3).
• Harden and tune jobs for performance, cost, and compliance; manage data partitioning, cataloging, and lineage.
• Automate deployments with CloudFormation; schedule batch workloads for timely pipelines.
• Build internal dashboards and data products; instrument monitoring and alerting to catch issues early.
• Translate client tickets into clear technical tasks; ensure data quality with tests and UAT evidence.
• Apply security and data-governance controls with encryption and IAM least privilege.

Skills

PySpark ETL on AWS EMR/Glue

SQL on Greenplum/Postgres

Python scripting

CloudFormation / IaC

CI/CD with AWS CodeCommit/CodeBuild/Ch

AWS Glue Data Catalog

Athena / S3 / DynamoDB

IAM & KMS security controls

GenAI with AWS Bedrock

AWS Amplify

Education

Master’s degree in CS/IT/Engineering or related field

Tools

AWS EMR

DynamoDB

Athena

S3

Job description

Publicis Groupe in Chicago is seeking a Senior Data Engineer to develop and optimize AI-enabled data pipelines on AWS, including PySpark ETL and SQL-driven transformations on Greenplum. You will build scalable data products, ensure data quality, and implement secure, auditable CI/CD workflows.

The role requires a Master’s degree with 2+ years experience and offers hybrid work with on-site days in Chicago. Compensation ranges from USD 145,870 to USD 182,000 annually.