Senior Data Engineer: Cloud Pipelines for Analytics

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

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.