Senior Data Engineer

RAPP; Chicago (IL); On-site; USD 90,000 - 99,000; Full time

Job summary

RAPP is seeking a Senior Data Engineer in Chicago to design and implement scalable, cloud-native data pipelines using Python, Airflow, AWS Lambda, DynamoDB, and dbt. You will contribute to analytics, reporting, and machine learning initiatives while ensuring high data quality and reliability.

The role emphasizes collaboration with creative teams to enhance asset workflow efficiency and scalability, with in-office expectations in Chicago. Compensation ranges from $90,000 to $99,000 annually.

Qualifications

• Experience with building scalable, cloud-native data pipelines and platforms.
• Strong focus on reliability, scalability, and data quality.

Responsibilities

• Design and maintain scalable, cloud-native data pipelines for analytics, reporting, and ML use cases.
• Collaborate with creative teams to improve efficiency and scalability of asset workflows.

Skills

Python

Apache Airflow

AWS Lambda

DynamoDB

dbt

Job description

Agency

RAPP

Job Function

Data and Analytics

Job Subfunction

Data Engineering

Job Description

We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt, and has experience designing reliable data workflows that enable advanced analytics, reporting, and machine learning use cases. The ideal candidate will have strong attention to detail, a passion for information management, and the ability to work collaboratively with creative teams to enhance the efficiency and scalability of our asset workflows. Chicago: $90,000 - $99,000

We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt, and has experience designing reliable data workflows that enable advanced analytics, reporting, and machine learning use cases. The ideal candidate will have strong attention to detail, a passion for information management, and the ability to work collaboratively with creative teams to enhance the efficiency and scalability of our asset workflows. Chicago: $90,000 - $99,000

Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice

For US Job Seekers

It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F., Chicago: $90,000 - $99,000