Senior Data Engineer

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

Company Description

Publicis Re:Sources is the backbone of Publicis Groupe, the world’s most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients. Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 5,000+ employees in over 66 countries. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support at http://www.publicisresources.com/.

The Publicis Re:Sources Guiding Principles

• People First, Driving Success Together
• Problem Solving Mindset
• Respect Each Other
• Partner and Collaborate as One Team
• Commit to Quality and Standards
• Innovate and Embrace the Future

Overview

We are seeking a skilled and detail-oriented Data Engineer to join our growing data team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and data science initiatives. You will work closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for performance.

Responsibilities

• Collaborate with software engineers, business stakeholders and/or domain experts to translate business requirements into product features, tools, and projects.
• Develop, implement, and deploy ETL solutions.
• Preprocess and analyze large datasets to identify patterns, trends, and insights.
• Evaluate, validate, and optimize data models to ensure efficiency and generalizability.
• Monitor and maintain the performance of data pipeline and data models in production environments, identifying opportunities for improvement and updating as needed.
• Document development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.

Qualifications

• Bachelor's or master’s degree in computer science, engineering, or a related field.
• Strong programming skills in languages such as Python, PySpark, SQL, etc.
• Experience in building and optimizing ETL workflows using tools/technologies such as Spark, Snowflake, Airflow, and/or Azure Data Factory, Glue, Redshift, etc.
• Craft and optimize complex SQL queries and stored procedures for data transformation, aggregation, and analysis.
• Develop and maintain data models ensuring scalability and optimal performance.
• Utilize Snowpark for data processing within the Snowflake platform.
• Integrate Snowflake for efficient data storage and retrieval.
• Exposure to API integrations to facilitate data workflows.
• Experience in implementing CI/CD pipelines through DevOps platforms.
• Good experience in cloud infrastructure such as Azure, AWS, or GCP.

Additional Information

All your information will be kept confidential according to EEO guidelines. This job description in no way states or implies that these are the only duties to be performed by the employee(s) currently in this position. Employee(s) will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an "at-will" relationship. Work sponsorship is not available for this role.

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