Analytics Engineer: AI-Driven Data Pipelines

Publicis Groupe Holdings B.V; Atlanta, Chicago (GA, IL); On-site; USD 110,000 - 160,000; Full time

Job summary

Publicis Sapient is seeking an Analytics Engineer to design, build, and maintain scalable data pipelines across marketing and enterprise systems, transforming data for analytics and AI-ready assets. You will work with APIs, Salesforce, and cloud platforms to ensure reliable ingestion, modeling, and governance.

The role emphasizes data quality, documentation, and applying AI tools to optimize development, testing, and operations across downstream analytics and dashboards.

Qualifications

• 5+ years of analytics engineering or similar data-focused role.
• Strong SQL and Python for production-grade pipelines.
• Experience with cloud data platforms (Snowflake/Databricks/BigQuery).
• Experience integrating data via REST APIs and Salesforce data.
• Experience with marketing data ecosystems and CRM data.
• Strong data modeling, warehousing, governance, and production best practices.
• Proficiency with AI tooling in engineering workflows and documentation.

Responsibilities

• Design, build, and maintain scalable data pipelines ingesting data from marketing platforms, Salesforce, APIs, and other sources.
• Develop data transformations and models for analytics, reporting, and dashboards.
• Build API integrations and Python solutions to automate data ingestion.
• Ensure data quality through validation, testing, monitoring, and troubleshooting.
• Create and maintain metadata, definitions, and lineage for data assets.
• Leverage AI tools to enhance development, testing, and documentation workflows.

Skills

SQL

Python

APIs

Salesforce

Data modeling

Cloud data platforms

AI tools

Data quality

Documentation

Version control

Tools

Snowflake

Databricks

BigQuery

Job description

Publicis Sapient is seeking an Analytics Engineer to design, build, and maintain scalable data pipelines across marketing and enterprise systems, transforming data for analytics and AI-ready assets. You will work with APIs, Salesforce, and cloud platforms to ensure reliable ingestion, modeling, and governance.

The role emphasizes data quality, documentation, and applying AI tools to optimize development, testing, and operations across downstream analytics and dashboards.