Senior Data Engineer - Build Scalable Data Pipelines

Publicis Re:Sources; Boston (MA); On-site; USD 90,000 - 130,000; Full time

Job summary

A global shared service organization is seeking a skilled Data Engineer to design and maintain scalable data pipelines in Boston, MA. You will collaborate with cross-functional teams to support analytics and data science initiatives, ensuring data is accessible and reliable. The ideal candidate has a degree in computer science or engineering and strong programming skills in Python and SQL. Experience with ETL tools and cloud infrastructure is essential. This role offers a dynamic working environment with opportunities for innovation.

Qualifications

• Strong programming skills in languages such as Python, PySpark, SQL, etc.
• Experience in building and optimizing ETL workflows using tools/technologies.
• Good experience in cloud infrastructure such as Azure, AWS, or GCP.

Responsibilities

• Collaborate with software engineers and stakeholders to translate business requirements.
• Develop, implement, and deploy ETL solutions.
• Monitor and maintain the performance of data pipelines.

Skills

Python

PySpark

SQL

ETL workflows

Data modeling

CI/CD pipelines

Cloud infrastructure (Azure, AWS, GCP)

Education

Bachelor's or master’s degree in computer science, engineering, or a related field

Tools

Spark

Snowflake

Airflow

Azure Data Factory

Glue

Redshift

Job description

A global shared service organization is seeking a skilled Data Engineer to design and maintain scalable data pipelines in Boston, MA. You will collaborate with cross-functional teams to support analytics and data science initiatives, ensuring data is accessible and reliable. The ideal candidate has a degree in computer science or engineering and strong programming skills in Python and SQL. Experience with ETL tools and cloud infrastructure is essential. This role offers a dynamic working environment with opportunities for innovation.