Senior Data Engineer

Publicis Groupe ANZ; Chicago (IL); On-site; USD 88,900 - 165,100; Full time

Job summary

Publicis Groupe ANZ is seeking a Senior Data Engineer based in Chicago to help optimize and deliver scalable data solutions. The role involves utilizing cloud-native pipelines with technologies like Databricks, AWS, SQL, and Python to address complex engineering challenges.

Qualified candidates will have 6-8 years of experience, a strong understanding of data architecture, and the ability to collaborate across functions for successful project outcomes.

The salary offered ranges between $88,900 and $165,100, depending on qualifications and experience.

Qualifications

• 6-8 years of experience in data engineering, cloud data platform engineering, or large-scale data systems.
• Strong track record of delivering production-grade solutions with Databricks, AWS, SQL, Python, and modern ETL/ELT frameworks.
• Deep understanding of distributed systems, cloud data architecture, data warehousing, and integration patterns.

Responsibilities

• Identify and resolve production issues, optimize performance in data processing.
• Design and build scalable cloud-native data pipelines.
• Collaborate with partners to deliver maintainable solutions.

Skills

Databricks

AWS

SQL

Python

Cloud-native pipeline development

Linux

Data processing optimization

Education

BA/BS in Computer Science or related field

Tools

Spark

Kafka

Airflow

Docker

Kubernetes

Job description

Overview

At Epsilon, we help big brands discover real opportunities in data. We build the next generation of our cloud data platform, designing high‑performance, cloud‑native pipelines and analytics systems across our Ad Stack and external ecosystems.

We seek a Senior Data Engineer who thrives on distributed systems, platform thinking, automation, and delivering reliable data products at scale.

Responsibilities

• Troubleshooting: Identify and resolve production issues, optimize performance, and address bottlenecks in data processing.
• Build Scalable Data Products: Design, build, and optimize cloud‑native data pipelines using Databricks, Spark, SQL, and Python for large‑scale ingestion, transformation, and delivery.
• Own Platform Reliability and Scale: Advance our cloud data platform with AWS services, improving scalability, observability, resilience, cost efficiency, and operational excellence.
• Lead with Technical Depth: Apply expertise in Databricks, AWS, SQL, Python, Linux, and cloud integration patterns to solve complex engineering problems and influence architecture decisions.
• Partner Across Functions: Collaborate with cloud architects, integration engineers, analysts, and product partners to deliver scalable, maintainable solutions aligned to business outcomes.
• Drive Continuous Improvement: Push forward data engineering standards, developer productivity, automation, and platform capabilities, influencing technical decisions.
• Communication: Clearly articulate technical concepts and solutions to internal teams and partners, fostering collaboration.

Qualifications

• BA/BS in Computer Science or related field.
• 6‑8 years of experience in data engineering, cloud data platform engineering, or large‑scale data systems.
• Strong track record of delivering production‑grade solutions with Databricks, AWS, SQL, Python, and modern ETL/ELT frameworks.
• Proficiency in Databricks, Spark, SQL, and Python from prior professional roles.
• Hands‑on experience with AWS cloud services, Linux, workflow orchestration, and cloud‑native pipeline development.
• Deep understanding of distributed systems, cloud data architecture, data warehousing, and integration patterns.
• Experience with Kafka, Airflow, Docker, Kubernetes, relational and NoSQL databases, and enterprise‑scale data platforms is highly valued.
• Strong communication, problem‑solving, and ownership skills to work effectively across teams.

Salary

Base Salary: $88,900.00 – $165,100.00. Actual compensation will depend on skills, experience, qualifications, location, and applicable employment laws.

Equal Opportunity Employer

Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee on the basis of race, age, sex, marital status, national origin, citizenship status, disability, religion, creed, sexual orientation, gender identity, veteran status, or any other characteristic protected by applicable law.

Epsilon also prohibits harassment of applicants or employees based on these protected categories and will provide accommodations for applicants needing assistance to complete the application process.

For San Francisco Bay and Los Angeles areas, Epsilon considers applicants with criminal histories in a manner consistent with local fair‑chance ordinances. Applicants with criminal histories are welcome to apply.